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Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry : An interim report on a study sponsored by the National Science Foundation as a part of research grant GK-11655 / Y.I. Abdel-Aziz in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 103 - 107 Titre : Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry : An interim report on a study sponsored by the National Science Foundation as a part of research grant GK-11655 Type de document : Article/Communication Auteurs : Y.I. Abdel-Aziz, Auteur ; H.M. Karara, Auteur Année de publication : 2015 Article en page(s) : pp 103 - 107 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes descripteurs IGN] chambre non métrique [Termes descripteurs IGN] élément d'orientation externe [Termes descripteurs IGN] élément d'orientation interne [Termes descripteurs IGN] espace objet [Termes descripteurs IGN] réduction [Termes descripteurs IGN] transformation linéaire directe Résumé : (auteur) A method for photogrammetric data reduction without the necessity for neither fiducial marks nor initial approximations for inner and outer orientation parameters of the camera has been developed. This approach is particularly suitable for reduction of data from non-metric photography, but has also distinct advantages in its application to metric photography. Preliminary fictitious data tests indicate that the approach is promising. Experiments with real data are underway. NB : The original article was published in 1971 as part of committee work within ASP (the original name for ASPRS), but it has not appeared in PE&RS or other journals, as far as we know. Numéro de notice : A2015-966 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80024 [article]

Fully polarimetric synthetic aperture radar (SAR) processing for crop type identification / Gang Hong in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 109 - 117 Titre : Fully polarimetric synthetic aperture radar (SAR) processing for crop type identification Type de document : Article/Communication Auteurs : Gang Hong, Auteur ; Shusen Wang, Auteur ; Junhua Li, Auteur ; Jingfeng Huang, Auteur Année de publication : 2015 Article en page(s) : pp 109 - 117 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] cultures [Termes descripteurs IGN] décomposition d'image [Termes descripteurs IGN] identification automatique [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] polarimétrie radar Résumé : (auteur) The target or polarimetric decomposition is widely used to process multi-polarization SAR imagery to establish a correspondence between physical characteristics of interested objects and observed scattering mechanisms. Polarimetric decomposition parameters are used as the basis for developing new classification methods for analyzing polarimetric SAR data. This study proposes to combine two polarimetric decomposition parameters (entropy (H) and angle (α)) derived from the Cloude and Pottier decomposition method and total scattered power (Span) in crop type identification. Support vector machine (SVM) classification algorithm was selected as a classifier to resolve limitations of classifications based on polarimetric decomposition parameters. The advantages of the proposed method are determined by comparing with other commonly used methods based on polarimetric features and the results produced from the coherency matrix, i.e., without target decomposition. Results show that the proposed method is about 10 percent better than other methods based on polarimetric features without Span, and it outperforms the result from the coherency matrix with about 4 percent improvement in the overall accuracy. Numéro de notice : A2015-967 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80025 [article]

Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 143 - 154 Titre : Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 Type de document : Article/Communication Auteurs : Zhuoting Wu, Auteur ; Barry Middleton, Auteur ; Robert Hetzler, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 143 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Arizona (Etats-Unis) [Termes descripteurs IGN] canopée [Termes descripteurs IGN] carte thématique [Termes descripteurs IGN] dommage matériel [Termes descripteurs IGN] données multitemporelles [Termes descripteurs IGN] image Landsat-8 [Termes descripteurs IGN] image Worldview [Termes descripteurs IGN] incendie de forêt [Termes descripteurs IGN] ressources forestières Résumé : (auteur) We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe’s crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from WorldView-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest. Numéro de notice : A2015-968 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80026 [article]