Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 68 n° 6Paru le : 01/06/2002 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierTrue orthophoto generation of built-up areas using multi-view images / J.Y. Rau in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : True orthophoto generation of built-up areas using multi-view images Type de document : Article/Communication Auteurs : J.Y. Rau, Auteur ; N.Y. Chen, Auteur ; L.C. Chen, Auteur Année de publication : 2002 Article en page(s) : pp 581 - 588 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] appariement d'histogramme
[Termes IGN] correction
[Termes IGN] dévers
[Termes IGN] histogramme
[Termes IGN] ombre
[Termes IGN] orthoimage
[Termes IGN] orthoimage intégrale
[Termes IGN] orthorectificationRésumé : (Auteur) Hidden areas and shadow effects are major causes of information loss in large-scale aerial photos of built-up areas. Both types of loss severely degrade the interpretability of orthophotos. An abrupt change of surface height is the primary cause of these defects. Thus, surface discontinuities, the orientation parameters of the sensors, and solar orientation are all keyfactors in determining the extent of defects. We thus propose an ortho-rectification scheme, which will compensate for hidden areas and shadow effects in built-up areas, by using multi-view images. The proposed scheme utilizes projection geometry to detect hidden and shadowed areas. For hidden areas, lost information is recovered from corresponding images. A seamless mosaic technique, utilizing gray-value balance, is suggested to reduce gray value discontinuity. For shadowed areas, dimmed features are enhanced using the local histogram matching method to improve image interpretability. Experimental results indicate that the proposed scheme can significantly reduce hidden and shadow defects. Both radiometric and geometric aspects of the proposed product and process are investigated. Numéro de notice : A2002-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_581-588. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22046
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 581 - 588[article]Large-area land-cover mapping through scene-based classification compositing / B. Guindon in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Large-area land-cover mapping through scene-based classification compositing Type de document : Article/Communication Auteurs : B. Guindon, Auteur ; C.M. Edmonds, Auteur Année de publication : 2002 Article en page(s) : pp 589 - 596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] bassin hydrographique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification non dirigée
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] modèle stéréoscopique
[Termes IGN] recouvrement d'imagesRésumé : (Auteur) Over the past decade, a number of initiatives have been undertaken to create definitive national and global data sets consisting of precision corrected Landsat Multispectral Scanner (Mss) and Thematic Mapper (TM) scenes. One important application of these data is the derivation of large area ]andcover products spanning multiple satellite scenes. A popular approach to land-cover mapping on this scale involves merging constituent scenes into image mosaics prior to image clustering and cluster labeling, thereby eliminating redundant geographic coverage arising from overlapping imaging swaths of adjacent orbital tracks. In this paper, arguments are presented to support the view that areas of overlapping coverage contain important information that can be used to assess and improve classification performance. A methodology is presented for the creation of large area land-cover products through the compositing of independently classified scenes. Statistical analyses of classification consistency between scenes in overlapping regions are employed both to identify mislabeled clusters and to provide a measure of classification confidence for each scene at the cluster level. During classification compositing, confidence measures are used to rationalize conflicting classifications in overlap regions and to create a relative confidence layer, sampled at the pixel level, which characterizes the spatial variation in classification quality over the final product. The procedure is illustrated with results from a synoptic mapping project of the Great Lakes watershed that involved the classification and compositing of 46 Landsat Mss scenes. Numéro de notice : A2002-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_589-596. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22047
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 589 - 596[article]Textural and contextual land-cover classification using single and multiple classifier systems / O. Debeir in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Textural and contextual land-cover classification using single and multiple classifier systems Type de document : Article/Communication Auteurs : O. Debeir, Auteur ; I. Van Der Steen, Auteur ; P. Latinne, Auteur ; P. Van Ham, Auteur ; E. Wolff, Auteur Année de publication : 2002 Article en page(s) : pp 597 - 605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification non dirigée
[Termes IGN] image Landsat-TM
[Termes IGN] occupation du sol
[Termes IGN] texture d'imageRésumé : (Auteur) The objective of this study was to improve the quality of the digital land-cover and land-use classification when using high-resolution (10 to 30 m) remote sensing data. Three classification techniques were compared, which can be divided into two groups : single classifiers (a five-nearest neighbour and the C4.5 decision tree classifier) and multiple classifier systems (BAGFS). Textural and contextual features (roads, hydrology, relief, etc.) were introduced during the classification process. Eleven land-cover categories, in a Belgian varied landscape, were analysed and classified using Landsat Thematic Mapper data. The accuracy assessment increased with the introduction of textural features and contextual data, between 0.60 and 0.82 for the Kappa coefficient. The best kappa value was achieved using numerous textural and contextual features with the multiple classifier system (BAGFs). Numéro de notice : A2002-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/251430961_Textural_and_Contextual_Land- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22048
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 597 - 605[article]Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization Type de document : Article/Communication Auteurs : Prasad S. Thenkabail, Auteur ; R.b Smith, Auteur ; E. De Pauw, Auteur Année de publication : 2002 Article en page(s) : pp 607 - 621 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] azote
[Termes IGN] bande infrarouge
[Termes IGN] bande spectrale
[Termes IGN] bande visible
[Termes IGN] blé (céréale)
[Termes IGN] caractérisation
[Termes IGN] cultures
[Termes IGN] image Landsat-TM
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] orge (céréale)Résumé : (Auteur) The main goal of the study was to determine optimal waveband centers and widths required to best estimate agricultural crop characteristics. The hyperspectral narrowband data was acquired over 395 to 1010 nanometers using a 1.43-nanometerwide, 430 bands, hand-held spectroradiometer. Broadband data were derived using a Landsat-5 Thematic Mapper image acquired to correspond with field spectroradiometer and ground-truth measurements. Spectral and biophysical data were obtained from 196 sample locations, including forms and rangelands, Six representative crops grown during the main cropping season were selected: barley, wheat, lentil, cumin, chickpea, and vetch. Biophysical variables consisted of leaf area index, wet biornass, dry biomass, plant height, plant nitrogen, and canopy cover.
Narrowband and broadband vegetation indices were computed and their relationship with quantitative crop characteristics were established and compared. The simple narrowband two-band vegetation indices (TBVI) and the optimum multiple-band vegetation indices (OMBVI) models provided the best results. The narrowband TBVI and omBvi models are compared with six other categories of narrow and broadband indices, Compared to the best broadband Tm indices, TBvi explained up to 24 percent greater variability and OMBYI explained up to 27 percent greater variability in estimating different crop variables. A Predominant proportion of crop characteristics are best estimated using data from four narrowbands, in order of importance, centered around 675 nanometers (red absorption maxima), 905 run (near-infrared reflection peak), 720 run (mid portion of the red-edge), and 550 run (green reflectance maxima). The study determined 12 spectral bands and their bandwidths (Table 5) that provide optimal agricultural crop characteristics in the visible and near-infrared portion of the spectrum.Numéro de notice : A2002-134 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.tetracam.com/PDFs/Rec_Cite2.pdf Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22049
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 607 - 621[article]Predicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Predicting mammal species richness and abundance using multi-temporal NDVI Type de document : Article/Communication Auteurs : B.O. Oindo, Auteur Année de publication : 2002 Article en page(s) : pp 623 - 629 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] indice de végétation
[Termes IGN] Kenya
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) There is need to map indicators of biodiversity such as species richness and abundance of individuals in order to predict where species loss is occurring. Species richness and abundance have been hypothesized to increase with ecosystem productivity. Moreover, productivity of ecosystems varies in space and time, and this heterogeneity is also hypothesized to influence species richness and abundance of individuals. Ecosystem productivity may be estimated using remotely sensed data, and researchers have specifically proposed the Advanced Very High Resolution Radiometer-Normalized Difference Vegetation Index (AVHRR-NDVI). Interannual average NDw and its variability (standard deviation) were correlated with large mammal species richness and abundance of individuals at a landscape scale in Kenya. The biodiversity indicators associated negatively with interannual average NDW and positively with variability of NDvi. Understanding these relationships can help in estimating changes in mammalian species richness and abundance in response to global climate change. Numéro de notice : A2002-135 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_623-629. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22050
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 623 - 629[article]