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Individual tree crown segmentation in tropical peat swamp forest using airborne hyperspectral data / Sitinor Atikah Nordin in Geocarto international, vol 34 n° 11 ([15/08/2019])  

Public [article]  inGeocarto international > vol 34 n° 11 [15/08/2019] . - pp 1218 - 1236 Titre : Individual tree crown segmentation in tropical peat swamp forest using airborne hyperspectral data Type de document : Article/Communication Auteurs : Sitinor Atikah Nordin, Auteur ; Zulkiflee Abd Latif, Auteur ; Hamdan Omar, Auteur Année de publication : 2019 Article en page(s) : pp 1218 - 1236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] analyse en composantes principales [Termes descripteurs IGN] analyse multibande [Termes descripteurs IGN] Asie du sud-est [Termes descripteurs IGN] bande rouge [Termes descripteurs IGN] canopée [Termes descripteurs IGN] capteur hyperspectral [Termes descripteurs IGN] carte forestière [Termes descripteurs IGN] forêt tropicale [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] image proche infrarouge [Termes descripteurs IGN] image satellite [Termes descripteurs IGN] niveau de gris (image) [Termes descripteurs IGN] réflectance végétale [Termes descripteurs IGN] segmentation d'image [Termes descripteurs IGN] teneur en chlorophylle des feuilles [Termes descripteurs IGN] tourbière Résumé : (Auteur) Individual tree crown segmentation is important step for deriving various information for fine-scale analysis of ecological process. However, only several studies have applied tree crown segmentation in tropical forest ecosystems, especially in mixed peat swamp forests. In this study, hyperspectral data were used to detect changes in the biochemical and biophysical characteristics, which are important factors for tree crown segmentation. Principal Component Analysis method was performed to investigate its influence on crown segmentation. Visually Selected PCs, 160 PCs and 160 Spectral Bands image were used and two segmentation techniques; Watershed Transformation and Region Growing segmentation were applied on those images. The highest accuracy was achieved for the crown segmentation is using Region Growing segmentation, based on 1:1 measurement, D value and RMSE value. The results obtained from 160 PCs image using region growing algorithm shows better accuracy with D value of 0.2 (80% accuracy, 20% error) and RMSE of 9.9 m2. Numéro de notice : A2019-463 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1475511 date de publication en ligne : 24/05/2018 En ligne : https://doi.org/10.1080/10106049.2018.1475511 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93605 [article]

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3D hyperspectral point cloud generation: Fusing airborne laser scanning and hyperspectral imaging sensors for improved object-based information extraction / Maximilian Brell in ISPRS Journal of photogrammetry and remote sensing, vol 149 (March 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 149 (March 2019) . - pp 200 - 214 Titre : 3D hyperspectral point cloud generation: Fusing airborne laser scanning and hyperspectral imaging sensors for improved object-based information extraction Type de document : Article/Communication Auteurs : Maximilian Brell, Auteur ; Karl Segl, Auteur ; Luis Guanter, Auteur ; Bodo Bookhagen, Auteur Année de publication : 2019 Article en page(s) : pp 200 - 214 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes descripteurs IGN] analyse des mélanges spectraux [Termes descripteurs IGN] capteur hyperspectral [Termes descripteurs IGN] classification orientée objet [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] étiquetage sémantique [Termes descripteurs IGN] fusion de données [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] impulsion laser [Termes descripteurs IGN] niveau de détail [Termes descripteurs IGN] segmentation d'image [Termes descripteurs IGN] semis de points Résumé : (Auteur) Remote Sensing technologies allow to map biophysical, biochemical, and earth surface parameters of the land surface. Of especial interest for various applications in environmental and urban sciences is the combination of spectral and 3D elevation information. However, those two data streams are provided separately by different instruments, namely airborne laser scanner (ALS) for elevation and a hyperspectral imager (HSI) for high spectral resolution data. The fusion of ALS and HSI data can thus lead to a single data entity consistently featuring rich structural and spectral information. In this study, we present the application of fusing the first pulse return information from ALS data at a sub-decimeter spatial resolution with the lower-spatial resolution hyperspectral information available from the HSI into a hyperspectral point cloud (HSPC). During the processing, a plausible hyperspectral spectrum is assigned to every first-return ALS point. We show that the complementary implementation of spectral and 3D information at the point-cloud scale improves object-based classification and information extraction schemes. This improvements have great potential for numerous land-cover mapping and environmental applications. Numéro de notice : A2019-119 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.01.022 date de publication en ligne : 06/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.01.022 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92448 [article]

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An evaluation of reflectance calibration methods for UAV spectral imagery / Jarrod Edwards in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 3 (March 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 3 (March 2019) . - pp 221 - 230 Titre : An evaluation of reflectance calibration methods for UAV spectral imagery Type de document : Article/Communication Auteurs : Jarrod Edwards, Auteur ; John Anderson, Auteur ; William Shuart, Auteur ; Jason Woolard, Auteur Année de publication : 2019 Article en page(s) : pp 221 - 230 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] capteur multibande [Termes descripteurs IGN] étalonnage de capteur (imagerie) [Termes descripteurs IGN] étalonnage radiométrique [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] méthode empirique de ligne [Termes descripteurs IGN] orthophotoplan numérique [Termes descripteurs IGN] Pix4D [Termes descripteurs IGN] réflectance spectrale [Termes descripteurs IGN] régression Résumé : (Auteur) Spectral imagery using micro-unmanned aerial vehicles is rapidly advancing. This study compared reflectance calibration methods for imagery acquired using the Parrot Sequoia imager, a commercial multispectral sensor package. For the study, two orthomosaics were calibrated using 1) a manufacturer-suggested AIRINOV standard correction using PIX4D software and 2) the Empirical Line Calibration (ELC) method using ground radiometric data on specific in-scene targets. Both scenes were analyzed for target spectral agreement by ground radiometric survey. Regression analysis demonstrated more favorable target correlation for the ELC imagery than the AIRINOV-calibrated imagery, with Root Mean Square Error (RMSE) analysis supporting these results. Finally, classification maps were produced between the data sets. Error analysis resulted in an overall accuracy of 24% for the AIRINOV map compared to ELC-based truth data, with a considerable number of pixels associated with brighter targets unclassified. These results demonstrate the need for standardized calibration procedures in the spectral correction of small-format remote sensor data. Numéro de notice : A2019-149 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.3.221 date de publication en ligne : 01/03/2019 En ligne : https://doi.org/10.14358/PERS.85.3.221 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92502 [article]

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Radiometric calibration assessments for UAS-borne multispectral cameras: Laboratory and field protocols / Sen Cao in ISPRS Journal of photogrammetry and remote sensing, vol 149 (March 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 149 (March 2019) . - pp 132 - 145 Titre : Radiometric calibration assessments for UAS-borne multispectral cameras: Laboratory and field protocols Type de document : Article/Communication Auteurs : Sen Cao, Auteur ; Brad Danielson, Auteur ; Shari Clare, Auteur Année de publication : 2019 Article en page(s) : pp 132 - 145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] bande infrarouge [Termes descripteurs IGN] bande rouge [Termes descripteurs IGN] capteur multibande [Termes descripteurs IGN] drone [Termes descripteurs IGN] étalonnage radiométrique [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] réflectance spectrale [Termes descripteurs IGN] test de performance Résumé : (Auteur) The main objective of this study was to develop and test a framework that can be used by Unmanned Aerial Systems (UAS) operators with varying technical backgrounds to estimate the accuracy and reliability of multispectral (visible and Near-Infrared or NIR) sensor measurements. We evaluated the performance of two multispectral sensors – the MicaSense RedEdge and the Airinov MultiSpec 4C – in both a laboratory and field setting. In the laboratory, we measured the reflectance of a number of reference target materials using each UAS sensor, and compared the values to those measured using a calibrated spectrometer. We found a strong linear relationship between the measurements made by the MicaSense RedEdge and the spectrometer, while the relationship was much weaker for the Airinov MultiSpec 4C, particularly in the longer wavelength bands (red-edge and NIR). A sub-set of the target materials were selected as ground reference targets for three field calibration exercises. In field calibration assessment No. 1, imagery was collected using each UAS sensor and reflectance values were extracted from pixels covering the ground reference targets. The extracted values were compared to the reflectance values acquired in the laboratory, and both UAS sensors were found to over-estimate reflectance, with lower accuracy in red-edge and NIR bands. Field calibration assessment No. 2 involved a calculation of Normalized Difference Vegetation Index (NDVI) values at field control points using both UAS sensors, and we found a strong linear relationship between the NDVI values and measurements made by a hand-held NDVI sensor, suggesting that the calculation of a normalized band ratio (i.e., NDVI) effectively reduces the reflectance measurement inaccuracy that we observed previously. Field calibration assessment No. 3 included image acquisition of ground reference targets using the MicaSense RedEdge sensor over seventeen sequential field surveys. Results revealed measurement variability over time, suggesting that daily differences in solar illumination and atmospheric conditions may influence derived reflectance values. In light of these results, we propose simplified procedures that can be adopted by UAS operators to periodically assess the radiometric fidelity of their multispectral sensors. Numéro de notice : A2019-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.01.016 date de publication en ligne : 29/01/2019 En ligne : https://doi.org/ Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92445 [article]

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Analysis and modelling of remote sensing reflectance during anoxic crisis in the Thau lagoon using satellite images / Manchun Lei (2019)  

Public Titre : Analysis and modelling of remote sensing reflectance during anoxic crisis in the Thau lagoon using satellite images Type de document : Article/Communication Auteurs : Manchun Lei , Auteur ; Audrey Minghelli, Auteur ; Annie Fiandrino, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2019 Projets : 1-Pas de projet / Conférence : Oceans Europe 2019, MTS / IEEE 17/06/2019 20/06/2019 Marseille France Proceedings IEEE Importance : pp 1 - 6 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] capteur multibande [Termes descripteurs IGN] image Envisat-MERIS [Termes descripteurs IGN] oxygène (O²) [Termes descripteurs IGN] pollution des eaux [Termes descripteurs IGN] réflectance spectrale [Termes descripteurs IGN] Thau (bassin de) Mots-clés libres : bactéries du soufre Résumé : (auteur) This study concerns the spectral behavior of remote sensing reflectance R rs of Thau lagoon water during the anoxic crisis in the summer of 2003 and 2006. The proliferation of photosynthetic sulfur-oxidizing bacteria (SOB) in anoxic water make the water color becomes opaque and turbid until milky. An identification method using 665 nm, 709 nm and 754 nm bands of Medium Resolution Imaging Spectrometer (MERIS) sensor is proposed to identify the total anoxic water filled by SOB. The reflectance of the SOB layer is described as a specific reflectance relating to the SOB concentration. The results show that SOB contaminated water during the anoxic crisis can be quantitatively remote sensed by multispectral sensor. Numéro de notice : C2019-021 Affiliation des auteurs : LaSTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/OCEANSE.2019.8867565 date de publication en ligne : 14/10/2019 En ligne : http://doi.org/10.1109/OCEANSE.2019.8867565 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93845

TERRISCOPE, une nouvelle plateforme mutualisée de recherche en télédétection optique à partir d’avions et de drones / Yannick Boucher (2018) 

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Hierarchically exploring the width of spectral bands for urban material classification / Arnaud Le Bris (2017)  

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Robust approach for recovery of rigorous sensor model using rational function model / Wen-chao Huang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)  

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Spectral band selection for urban material classification using hyperspectral libraries / Arnaud Le Bris in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-7 (July 2016)  

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Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground biomass across different fertilizer treatments / Mbulisi Sibanda in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)  

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Télédétection pour l'agriculture de précision par caméra hyperspectrale miniature / D. Constantin in Géomatique suisse, vol 113 n° 9 (septembre 2015)

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HYCA: A new technique for hyperspectral compressive sensing / G. Martin in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)

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Multispectral sensor spectral resolution simulations for generation of hyperspectral vegetation indices from Hyperion data / Prabir Das in Geocarto international, vol 30 n° 5 - 6 (May - July 2015)  

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Setting new standards in Earth observation / Anonyme in GEO: Geoconnexion international, vol 14 n° 3 (March 2015)

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Optimisation de la configuration d’un instrument superspectral aéroporté pour la classification : application au milieu urbain / Arnaud Le Bris (2015)  

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Remote sensing and image interpretation / Thomas M. Lillesand (2015)

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Un vaste champ d'applications / Françoise de Blomac in DécryptaGéo le mag, n° 155 (01/03/2014)

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Combination of overlap-driven adjustment and Phong model for LiDAR intensity correction / Q. Ding in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)

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Tree species classification with multiple source remote sensing data / Eetu Puttonen (2012)  

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Calibrating and validating multispectral 3D imaging systems at a permanent test site: case study with an Intergraph DMC / Eija Honkavaara in Photogrammetric record, vol 26 n° 134 (June - August 2011)  

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Insight is in the details: 8-band multispectral imagery / I. Gilbert in Geoinformatics, vol 13 n° 7 (01/10/2010)

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The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran / A. Moghtaderi in Photo interpretation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)

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The design and the development of a hyperspectral and multispectral airborne mapping system / P.V. Gorsevski in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)

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Digital aerial cameras / Mathias Lemmens in GIM international, vol 22 n° 4 (April 2008)

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Sentinel-2, the optical high-resolution mission for GMES operational services / P. Martimort in ESA bulletin, n° 131 (August 2007)  

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Terra MODIS on-orbit spatial characterization and performance / X. Xiong in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)

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An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs / D.G. Hadjimitsis in International Journal of Remote Sensing IJRS, vol 25 n° 18 (September 2004)

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Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-machine technique / B.C. Gao in Remote sensing of environment, vol 90 n° 4 (30/04/2004)

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Four years of oceans colour remote sensing with MOS-IRS / M. Hetscher in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)

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From mobile mapping to telegeoinformatics: paradigm shift in geospatial data acquisition, processing, and management / Dorota A. Grejner-Brzezinska in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 2 (February 2004)

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Feature selection of in situ subtropical hyperspectral data using principal components analysis / F.Y. Ma in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)

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Performance of the MISR [multiangle imaging spectrodiometer] instrument during its first 20 months in Earth orbit / David J. Diner in IEEE Transactions on geoscience and remote sensing, vol 40 n° 7 (July 2002)

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The Multi-angle Imaging SpectroRadiometer science data system, its products, tools, and performance / G.W. Bothwell in IEEE Transactions on geoscience and remote sensing, vol 40 n° 7 (July 2002)

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Anomaly detection and classification for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)

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Comparative evaluation of Indian remote sensing multi-spectral sensors data for crop classification / R.P. Singh in Geocarto international, vol 17 n° 2 (June - August 2002)

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The Rapideye service: targeting the decisive gap in remote sensing / K. Van Der Lei in Geoinformatics, vol 5 n° 2 (01/03/2002)

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Progress in the development of a high performance airborne digital sensor / P. Fricker in Photogrammetric record, vol 16 n° 96 (October 2000 - March 2001)

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Proceedings of the MOMS-02 symposium, Modular Optoelectronic Multispectral Stereo-scanner on the second German Spacelab mission / F. Lanzl (1996)

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Mineral mapping at Cuprite, Nevada with a 63-channel imaging spectrometer / F.A. Kruse in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 1 (january 1990)

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Design of spectral and panchromatic bands for the German MOMS-02 sensor / H. Kaufmann in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 6 (june 1989)

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Multispectral sensor data simulation modelling based on the multiple scattering lowtran code / R.G. Isaacs in Remote sensing of environment, vol 26 n° 1 (01/10/1988)

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Multispectral scanning systems and their potential application to Earth resource surveys, prepared under ESRO contract n° ESTEC 1673/72 EL, 3. Volume 3 Data processing / Q.S. Earl (1973)

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Multispectral scanning systems and their potential application to Earth resource surveys, prepared under ESRO contract n° ESTEC 1673/72 EL, 5. Volume 5, Recommendations for European programme / A.D. Higham (1973)

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Multispectral scanning systems and their potential application to Earth resource surveys, prepared under ESRO contract n° ESTEC 1673/72 EL, 6. Volume 6, Summary / A.D. Higham (1973)

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Multispectral scanning systems and their potential application to Earth resource surveys, prepared under ESRO contract n° ESTEC 1673/72 EL, 1. Volume 1 Basic physics and technology / A.D. Higham (1972)

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