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Full-waveform topographic lidar: State-of-the-art / Frédéric Bretar in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 1 - 16 Titre : Full-waveform topographic lidar: State-of-the-art Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Clément Mallet , Auteur Année de publication : 2009 Article en page(s) : pp 1 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] carte de la végétation [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] état de l'art [Termes IGN] lidar à retour d'onde complète [Termes IGN] lidar topographique [Termes IGN] milieu urbain [Termes IGN] rétrodiffusion [Termes IGN] semis de points [Termes IGN] télémétrie laser aéroporté [Termes IGN] traitement du signal Résumé : (Auteur) Airborne laser scanning (ALS) is an active remote sensing technique providing range data as 3D point clouds. This paper aims at presenting a survey of the literature related to such techniques, with emphasis on the new sensors called full-waveform lidar systems. Indeed, an emitted laser pulse interacts with complex natural and man-made objects leading to a temporal distortion of the returned energy profile. The new technology of full-waveform laser scanning systems permits one to digitize the complete waveform of each backscattered pulse. Full-waveform lidar data give more control to an end-user in the interpretation process of the physical measurement and provide additional information about the structure and the physical backscattering characteristics of the illuminated surfaces. In this paper, the theoretical principles of full-waveform airborne laser scanning are first described. Afterwards, a review of the main sensors as well as signal processing techniques are presented. We then discuss the interpretation of full-waveform measures with special interest on vegetated and urban areas. Copyright ISPRS Numéro de notice : A2009-026 Affiliation des auteurs : IGN (1940-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.09.007 Date de publication en ligne : 29/10/2008 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.09.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29656 [article]

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Automatde co-registration of images from multiple bands of LISS-4 camera / P. Radhadevi in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 17 - 26 Titre : Automatde co-registration of images from multiple bands of LISS-4 camera Type de document : Article/Communication Auteurs : P. Radhadevi, Auteur ; S. Solanki, Auteur ; V. Nagasubramanian, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 17 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] acquisition d'images [Termes IGN] angle de visée [Termes IGN] colinéarité [Termes IGN] géoréférencement direct [Termes IGN] image IRS-LISS [Termes IGN] image multibande [Termes IGN] modèle numérique de terrain [Termes IGN] superposition d'images [Termes IGN] trajectographie (positionnement) Résumé : (Auteur) Three multi-spectral bands of the Liss-4 camera of IRS-P6 satellite are physically separated in the focal plane in the along-track direction. The time separation of 2.1 s between the acquisition of first and last bands causes scan lines acquired by different bands to lie along different lines on the ground which are not parallel. Therefore, the raw images of multi-spectral bands need to be registered prior to any simple application like data visualization. This paper describes a method for co-registration of multiple bands of Liss-4 camera through photogrammetric means using the collinearity equations. A trajectory fit using the given ephemeris and attitude data, followed by direct georeferencing is being employed in this model. It is also augmented with a public domain DEM for the terrain dependent input to the model. Finer offsets after the application of this parametric technique are addressed by matching a small subsection of the bands (100*100 pixels) using an image-based method. Resampling is done by going back to original raw data when creating the product after refining image coordinates with the offsets. Two types of aligned products are defined in this paper and their operational flow is described. Datasets covering different types of terrain and also viewed with different geometries are studied with extensive number of points. The band-to-band registration (BBR) accuracies are reported. The algorithm described in this paper for co-registration of Liss-4 bands is an integral part of the software package Value Added Products generation System (VAPS) for operational generation of IRS-P6 data products. Copyright ISPRS Numéro de notice : A2009-027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29657 [article]

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Region based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison / B. Wuest in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 55 - 64 Titre : Region based segmentation of Quickbird multispectral imagery through band ratios and fuzzy comparison Type de document : Article/Communication Auteurs : B. Wuest, Auteur ; Y. Zhang, Auteur Année de publication : 2009 Article en page(s) : pp 55 - 64 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image à très haute résolution [Termes IGN] image multibande [Termes IGN] image Quickbird [Termes IGN] partition d'image [Termes IGN] segmentation d'image [Termes IGN] segmentation en régions Résumé : (Auteur) The continued advancements in satellite sensor technologies have increased the number of objects that can be discriminated within satellite imagery. Effective segmentation of high resolution satellite imagery is currently a hot topic of research. Existing segmentation algorithms and applications contain many parameters and options which require the operator to select a proper set of parameters for a given data set. The setting of these parameters can be quite tedious and the same set of parameters may or may not work from one high resolution satellite image scene to the next. This paper presents a modification of a region based approach for unsupervised segmentation of high resolution satellite imagery as a solution to segmentation of land use coverage in QuickBird multispectral 2.44 m imagery. This type of segmentation is important to a variety of applications such as land use classification and urban planning. All region based segmentation approaches require a method for representing image regions/segments and judging the similarity between two given image regions/segments. In the proposed modification of this paper, region description is provided through the integration of band ratios. Region similarity measures are performed using Fuzzy Logic. The Hierarchical Split Merge Refinement (HSMR) algorithmic framework for unsupervised image segmentation is the foundation for this modification. In addition, this paper improves upon the merging and refinement processes of the HSMR algorithm. Test results demonstrate stable segmentation of land use areas across a variety of high resolution satellite images. Copyright ISPRS Numéro de notice : A2009-028 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.06.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29658 [article]

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Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data / Y. Oyama in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 73 - 85 Titre : Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data Type de document : Article/Communication Auteurs : Y. Oyama, Auteur ; B. Matsushita, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 73 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse diachronique [Termes IGN] analyse discriminante [Termes IGN] analyse linéaire des mélanges spectraux [Termes IGN] décomposition d'image [Termes IGN] image Landsat-TM [Termes IGN] Japon [Termes IGN] lac [Termes IGN] matière organique [Termes IGN] modélisation radiométrique de prise de vue [Termes IGN] qualité des eaux [Termes IGN] sédiment [Termes IGN] turbidité des eaux Résumé : (Auteur) The remote sensing of Case 2 water has been far less successful than that of Case 1 water, due mainly to the complex interactions among optically active substances (e.g., phytoplankton, suspended sediments, colored dissolved organic matter, and water) in the former. To address this problem, we developed a spectral decomposition algorithm (SDA), based on a spectral linear mixture modeling approach. Through a tank experiment, we found that the SDA-based models were superior to conventional empirical models (e.g. using single band, band ratio, or arithmetic calculation of band) for accurate estimates of water quality parameters. In this paper, we develop a method for applying the SDA to Landsat-5 TM data on Lake Kasumigaura, a eutrophic lake in Japan characterized by high concentrations of suspended sediment, for mapping chlorophyll-a (Chl-a) and non-phytoplankton suspended sediment (NPSS) distributions. The results show that the SDA-based estimation model can be obtained by a tank experiment. Moreover, by combining this estimation model with satellite-SRSs (standard reflectance spectra : i.e., spectral endmembers) derived from biooptical modeling, we can directly apply the model to a satellite image. The same SDA-based estimation model for Chl-a concentration was applied to two Landsat-5 TM images, one acquired in April 1994 and the other in February 2006. The average Chl-a estimation error between the two was 9.9%, a result that indicates the potential robustness of the SDA-based estimation model. The average estimation error of NPSS concentration from the 2006 Landsat-5 TM image was 15.9%. The key point for successfully applying the SDA-based estimation model to satellite data is the method used to obtain a suitable satellite-SRS for each end-member. Numéro de notice : A2009-029 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.04.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29659 [article]

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Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier / R. Philipps in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 107 - 116 Titre : Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier Type de document : Article/Communication Auteurs : R. Philipps, Auteur ; L. Watson, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 107 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] analyse en composantes principales [Termes IGN] classificateur paramétrique [Termes IGN] classification hybride [Termes IGN] décomposition d'image [Termes IGN] image Landsat-ETM+ [Termes IGN] image multitemporelle [Termes IGN] précision de la classification [Termes IGN] Rondonia (Brésil) [Termes IGN] Virginie (Etats-Unis) Résumé : (Auteur) Feature reduction in a remote sensing dataset is often desirable to decrease the processing time required to perform a classification and improve overall classification accuracy. This paper introduces a feature reduction method based on the singular value decomposition (SVD). This SVD-based feature reduction method reduces the storage and processing requirements of the SVD by utilizing a training dataset. This feature reduction technique was applied to training data from two multitemporal datasets of Landsat TM/ETM+ imagery acquired over a forested area in Virginia, USA and Rondônia, Brazil. Subsequent parallel iterative guided spectral class rejection (pIGSCR) forest/non-forest classifications were performed to determine the quality of the feature reduction. The classifications of the Virginia data were five times faster using SVD-based feature reduction without affecting the classification accuracy. Feature reduction using the SVD was also compared to feature reduction using principal components analysis (PCA). The highest average accuracies for the Virginia dataset (88.34%) and for the Rondônia dataset (93.31%) were achieved using the SVD. The results presented here indicate that SVD-based feature reduction can produce statistically significantly better classifications than PCA. Copyright ISPRS Numéro de notice : A2009-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29660 [article]

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A multi-directional ground filtering algorithm for airborne LIDAR / X. Meng in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 117 - 124 Titre : A multi-directional ground filtering algorithm for airborne LIDAR Type de document : Article/Communication Auteurs : X. Meng, Auteur ; L. Wang, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 117 - 124 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] algorithme de filtrage [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] Kappa de Cohen [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] modèle numérique de terrain [Termes IGN] signal laser Résumé : (Auteur) Automatic ground filtering for Light Detection And Ranging (LIDAR) data is a critical process for Digital Terrain Model (DTM) and three-dimensional urban model generation. Although researchers have developed many methods to separate bare ground from other urban features, the problem has not been fully solved due to the similar characteristics possessed by ground and non-ground objects, especially on abrupt surfaces. Current methods can be grouped into two major categories: neighborhood-based approaches and directional filtering. In this study, following the direction of the second branch, we propose a new Multi-directional Ground Filtering (MGF) algorithm to incorporate a two-dimensional neighborhood in the directional scanning so as to prevent the errors introduced by the sensitivity to directions. Besides this, the MGF algorithm explores the utility of identifying pattern varieties in different directions across an image. The authors conducted a comprehensive test of the performance on fifteen study sites and compared our results to eight other publicized methods based on the Kappa coefficients calculated from the error matrices reported by ISPRS. Overall, the MGF filter produces a promising performance in both urban and forest areas. The size and shape of non-ground objects do not pose significant influence on the performance of the MGF algorithm. The fact that MGF algorithm is robust to two commonly required parameters, slope and elevation difference thresholds, has added practical merits to be adopted in different landscapes. Copyright ISPRS Numéro de notice : A2009-031 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.09.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.09.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29661 [article]

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