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Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis / Wenxia Dai in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 156 (October 2019) . - pp 94 - 107 Titre : Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis Type de document : Article/Communication Auteurs : Wenxia Dai, Auteur ; Bisheng Yang, Auteur ; Xinlian Liang, Auteur ; Zhen Dong, Auteur ; Ronggang Huang, Auteur ; Yunsheng Wang, Auteur ; Wuyan Li, Auteur Année de publication : 2019 Article en page(s) : pp 94 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] algorithme ICP [Termes IGN] canopée [Termes IGN] données TLS (télémétrie) [Termes IGN] Finlande [Termes IGN] forêt boréale [Termes IGN] fusion de données multisource [Termes IGN] image ADAR [Termes IGN] semis de points [Termes IGN] surveillance forestière Résumé : (Auteur) Airborne laser scanning (ALS) and terrestrial laser scanning (TLS) systems are effective ways to capture the 3D information of forests from complementary perspectives. Registration of the two sources of point clouds is necessary for various forestry applications. Since the forest point clouds show irregular and natural point distributions, standard registration methods working on geometric keypoints (e.g., points, lines, and planes) are likely to fail. Hence, we propose a novel method to register the ALS and TLS forest point clouds through density analysis of the crowns. The proposed method extracts mode-based keypoints by the mean shift method and aligns them by maximum likelihood estimation. Firstly, the differences in the point densities of the ALS and TLS crowns are minimized to produce analogous modes, which represent the local maxima of the underlying probability density function (PDF). The mode-based keypoints are then aligned through the coherent point drift (CPD) algorithm, which is independent of the descriptor similarities and considers the alignment as a maximum likelihood estimation problem. The sets of keypoints derived from the two data sources need not be equal. Finally, the recovered transformation is applied to the original point clouds and refined through the standard iterative closest point (ICP) algorithm. In contrast to some of the existing methods, the proposed method avoids the geometric description of the forest point clouds. Furthermore, additional information such as tree diameter or height is not required to evaluate the similarities. The experiments in this study were conducted in a Scandinavian boreal forest, located in Evo, Finland. The proposed method was tested on four datasets (ALS data: a circle with a diameter of 60 m, multi-scan TLS data: 32 × 32 m) with heterogeneous tree species and structures. The results showed that the proposed probabilistic-based method obtains a good performance with a 3D distance residual of 0.069 m, and improved the accuracy of the registration when compared with the existing methods. Numéro de notice : A2019-318 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : doi.org/10.1016/j.isprsjprs.2019.08.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.08.008 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93356 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2019101	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2019103	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2019102	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Monitoring cross-border trails using airborne digital multispectral imagery and interactive image analysis techniques / L. Cao in Geocarto international, vol 22 n° 2 (June - August 2007)  

Public [article]  inGeocarto international > vol 22 n° 2 (June - August 2007) . - pp 107 - 125 Titre : Monitoring cross-border trails using airborne digital multispectral imagery and interactive image analysis techniques Type de document : Article/Communication Auteurs : L. Cao, Auteur ; D. Stow, Auteur ; J. Kaiser, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 107 - 125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse en composantes principales [Termes IGN] Californie (Etats-Unis) [Termes IGN] frontière [Termes IGN] image ADAR [Termes IGN] image aérienne [Termes IGN] image multibande [Termes IGN] immigration [Termes IGN] Mexique [Termes IGN] sentier Résumé : (Auteur) The objective of this study was to evaluate image-based procedures for monitoring cross-border foot trails in the US - Mexico border zone in eastern San Diego County using airborne remote sensing techniques. Specifically, digital multi-spectral and multi-temporal imagery from an airborne digital multi-spectral imaging system, digital image processing, and visual image analysis techniques were explored in the context of detecting and delineating new trail features and updating trail GIS layers. Three trail updating approaches: map-to-image (M-I) overlay, map and image-to-image (M/I-I) differencing, map and image-to-image (M/I-I) swiping and two types of spectral transform, PCA and NDVI, were tested and compared. The M-I overlay was found to be the most reliable trail updating approach. The optimal image enhancement method for the M-I overlay approach varied with vegetation structure. PCA imagery yielded better results than NDVI imagery in a highly disturbed area and NDVI imagery performed better in a densely vegetated area. The M/I-I swiping approach was useful for distinguishing misregistered extant trails from new trail features. Copyright Taylor & Francis Numéro de notice : A2007-460 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701204073 Date de publication en ligne : 18/06/2007 En ligne : https://doi.org/10.1080/10106040701204073 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28823 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-07021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Integrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization / J.T. Morris in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5221 - 5234 Titre : Integrating LIDAR elevation data, multi-spectral imagery and neural network modelling for marsh characterization Type de document : Article/Communication Auteurs : J.T. Morris, Auteur ; D. Porter, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 5221 - 5234 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Caroline du Sud (Etats-Unis) [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] données altimétriques [Termes IGN] données lidar [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] marais salant [Termes IGN] niveau moyen des mers [Termes IGN] North American Vertical Datum 1988 [Termes IGN] plante halophile [Termes IGN] réseau neuronal artificiel [Termes IGN] sédimentation [Termes IGN] système de référence géodésique Résumé : (Auteur) Vertical elevation relative to mean sea level is a critical variable for the productivity and stability of salt marshes. This research classified a high spatial resolution Airborne Data Acquisition and Registration (ADAR) digital camera image of a salt marsh landscape at North Inlet, South Carolina, USA using an artificial neural network. The remote sensing-derived thematic map was cross-referenced with Light Detection and Ranging (LIDAR) elevation data to compute the frequency distribution of marsh elevation relative to tidal elevations. At North Inlet, the median elevation of the salt marsh dominated by Spartina alterniflora was 0.349m relative to the North American Vertical Datum 1988 (NAVD88), while the mean high water level was 0.618m (2001 to May, 2003) with a mean tidal range of 1.39m. The distribution of elevations of Spartina habitat within its vertical range was normal, and 80% of the salt marsh was situated between a narrow range of 0.22 m and 0.481 m. Areas classified as Juncus marsh, dominated by Juneus roemerianus, had a broader, skewed distribution, with 80% of the distribution between 0.296 m and 0.981 m and a median elevation of 0.519 m. The Juneus marsh occurs within the intertidal region of brackish marshes and along the upper fringe of salt marshes. The relative elevation of the Spartina marsh at North Inlet is consistent with recent work that predicts a decrease in equilibrium elevation with an increasing rate of sea-level rise and suggests that the marshes here have not kept up with an increase in the rate of sea-level rise during the last two decades. Numéro de notice : A2005-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500219018 En ligne : https://doi.org/10.1080/01431160500219018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27651 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Landscape dynamics of the spread of sudden oak death / M. Kelly in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 10 (October 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 10 (October 2002) . - pp 1001 - 1009 Titre : Landscape dynamics of the spread of sudden oak death Type de document : Article/Communication Auteurs : M. Kelly, Auteur ; Ross K. Meentemeyer, Auteur Année de publication : 2002 Article en page(s) : pp 1001 - 1009 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse de groupement [Termes IGN] Californie (Etats-Unis) [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] distribution spatiale [Termes IGN] dynamique spatiale [Termes IGN] Fagus (genre) [Termes IGN] forêt [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] indice d'humidité [Termes IGN] maladie phytosanitaire [Termes IGN] modélisation spatiale [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] simulation dynamique Résumé : (Auteur) Sudden Oak Death is caused by a newly discovered virulent pathogen (Phytophthora ramorum) that is killing thousands of native oak trees in California. We present a landscape-scale study on the spatio-temporal dynamics of oak mortality. Second-order spatial point-pattern analysis techniques (Ripley's K) were applied to the distribution of dead tree crowns (derived from high-resolution imagery) in Marin County, California to determine the existence and scale of mortality clustering in two years (2000 and 2001). Both years showed clustering patterns between 100 and 300 m. A classification tree model was developed to predict spatial patterns of risk for oak mortality based on several landscapescale variables. Proximity to forest edge was the most important explanatory factor, followed by topographic moisture index, proximity to trails, abundance of Umbellularia californica, and potential summer solar radiation. This research demonstrates the utility of integrating remotely sensed imagery analysis with geographic information systems and spatial modeling for understanding the dynamics of exotic species invasions. Numéro de notice : A2002-233 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/october/2002_oct_1001- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22147 [article]

Scale and texture in digital image classification / J.S. Ferro in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 1 (January 2002) . - pp 51 - 63 Titre : Scale and texture in digital image classification Type de document : Article/Communication Auteurs : J.S. Ferro, Auteur ; T.A. Warner, Auteur Année de publication : 2002 Article en page(s) : pp 51 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] accentuation de contours [Termes IGN] analyse d'image numérique [Termes IGN] classification dirigée [Termes IGN] classification multidimensionnelle [Termes IGN] classification non dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] incertitude des données [Termes IGN] qualité d'image [Termes IGN] superposition d'images Résumé : (Auteur) Classification errors using texture are most likely associated with class edges, but investigators often avoid edges when evaluating textures for classification. The large window needed to produce a stable texture measure produce large edge effects. Small windows minimize edge effects, but often do not provide stable texture measures. Simulated data experiments showed that class separability increased when texture was used in addition to spectral information. Texture separability improved with larger windows. This improvement was over estimated when pixels were chosen away from class edges. Airborne Data Acquisition and Registration (ADAR) data showed that separability of class interiors improved with the addition of texture, but that, for the whole class, separability fell. Maximum-likelihood classification of the ADAR data demonstrated the effect of edges and multiple scales in reducing the accuracy of classification incorporating texture. Numéro de notice : A2002-010 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/january/2002_jan_51-63 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21927 [article]

Use of very high spatial resolution remotely sensed imagery for assessing land-cover changes in shrub habitat preserves of the southern California / P. Longmire in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)  

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