Centre de documentation
scientifique

Four years of Landsat-7 on orbit geometric calibration and performance / D. Scott Lee in IEEE Transactions on geoscience and remote sensing, vol 42 n° 12 (December 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 12 (December 2004) . - pp 2786 - 2795 Titre : Four years of Landsat-7 on orbit geometric calibration and performance Type de document : Article/Communication Auteurs : D. Scott Lee, Auteur ; J.C. Storey, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2786 - 2795 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] élément d'orientation interne [Termes IGN] étalonnage géométrique [Termes IGN] étalonnage radiométrique [Termes IGN] Landsat [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) Unlike its predecessors, Landsat-7 has undergone regular geometric and radiometric performance monitoring and calibration since launch in April 1999. This ongoing activity, which includes issuing quarterly updates to calibration parameters, has generated a wealth of geometric performance data over the four-year on-orbit period of operations. A suite of geometric characterization (measurement and evaluation procedures) and calibration (procedures to derive improved estimates of instrument parameters) methods are employed by the Landsat-7 Image Assessment System to maintain the geometric calibration and to track specific aspects of geometric performance. These include geodetic accuracy, band-to-band registration accuracy, and image-to-image registration accuracy. These characterization and calibration activities maintain image product geometric accuracy at a high level-by monitoring performance to determine when calibration is necessary, generating new calibration parameters, and verifying that new parameters achieve desired improvements in accuracy. Landsat-7 continues to meet and exceed all geometric accuracy requirements, although aging components have begun to affect performance. Numéro de notice : A2004-536 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.836769 En ligne : https://doi.org/10.1109/TGRS.2004.836769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27053 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-04121	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Class-guided building extraction from imagery / D. Scott Lee in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 2 (February /2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 2 (February /2003) . - pp 143 - 150 Titre : Class-guided building extraction from imagery Type de document : Article/Communication Auteurs : D. Scott Lee, Auteur ; Shan Jie, Auteur ; J. Bethel, Auteur Année de publication : 2003 Article en page(s) : pp 143 - 150 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] classification non dirigée [Termes IGN] détection de contours [Termes IGN] détection du bâti [Termes IGN] extraction automatique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] milieu urbain [Termes IGN] reconstruction 2D du bâti [Termes IGN] transformation de Hough Résumé : (Auteur) Recent high resolution satellite images provide a valuable new data source for geospatial information acquisition. This paper addresses building extraction from Ikonos images in urban areas. The proposed approach uses the classification results of Ikonos multispectral images to provide approximate location and shape for candidate building objects. Their fine extraction is then carried out in the corresponding panchromatic image through segmentation and squaring. The ECHO classifier is used for supervised classification while the ISODATA algorithm is used for unsupervised classification and subsequent image segmentation. The classification performance is evaluated using the classification confusion matrix, while the final building extraction results are assessed based on the manually delineated results. A building squaring approach based on the Hough transformation is developed that detects and forms the rectilinear building boundaries. A number of sample results are presented to illustrate the approach and demonstrate its efficiency. It is shown that about 64.4 percent of the buildings can be detected, extracted, and accurately formed through this process. Remaining difficulties are high percentage false alarm errors caused by the misclassification of road and building classes as well as occlusion and shadows that may mislead the extraction process. Numéro de notice : A2003-011 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.2.143 En ligne : https://doi.org/10.14358/PERS.69.2.143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22309 [article]