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Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1269 - 1278 Titre : Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy Type de document : Article/Communication Auteurs : F. Gao, Auteur ; Y.J. Xiaowen, Auteur ; C.B. Schaaf, Auteur ; A. Strahler, Auteur Année de publication : 2002 Article en page(s) : pp 1269 - 1278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] bande infrarouge [Termes IGN] bande rouge [Termes IGN] canopée [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] éclairement lumineux [Termes IGN] image optique [Termes IGN] image Terra-MODIS [Termes IGN] inversion [Termes IGN] modèle physique [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] spectroradiométrie Résumé : (Auteur) The normalized difference vegetation index (NDVI) has been widely applied in optical remote sensing. However, it has been demonstrated that NDVI is still partially affected by atmospheric path scattering and bidirectional (illumination and viewing geometry) effects. In this paper we present the benefit of using a bidirectional NDVI, and we discuss the problems in using the maximum NDVI composite method. Based on the assumption that a clear day has a larger NDVI value and a cloudy day has a smaller NDVI value (smaller reflectance in the nearinfrared band and larger reflectance in red band due to atmospheric path scattering), the ratio of squared observed NDVI values and calculated NDVI values is used as a weight in our inversion method. The calculated NDVI values are derived from previously inverted bidirectional reflectance distribution functions (BRDFs). The inversion process will loop until all weights converge. Our research on the early Terra/MODIS data using a semiempirical kerneldriven BRDF model (the RossThickLiTransit model) shows that this new method can improve inversion results whenever some cloudy pixels are not filtered out. As cloud detection and subpixel cloudiness are always a problem, this technique should still be very useful in improving the quality of BRDF inversion. Numéro de notice : A2002-187 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800241 En ligne : https://ieeexplore.ieee.org/document/1020259 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22102 [article]

Exemplaires(2)

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Inundation discriminated using sun glint / V.C. Vanderbilt in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1279 - 1287 Titre : Inundation discriminated using sun glint Type de document : Article/Communication Auteurs : V.C. Vanderbilt, Auteur ; G Perry, Auteur ; G.P. Livingston, Auteur ; S.L. Ustin, Auteur ; et al., Auteur Année de publication : 2002 Article en page(s) : pp 1279 - 1287 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] bande rouge [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] inondation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] POLarization and Directionality of Earth's Reflectances [Termes IGN] réflectance végétale [Termes IGN] télédétection spatiale [Termes IGN] zone inondable Résumé : (Auteur) Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote sensing technique for identifying inundated areas based on the properties of the glitterthe strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types vegetation emergent above inundated soils, open water, and noninundated cover types from analysis of directional data collected in the red spectral band by the airborne POLDER (polarization and directionality of earth's reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. Application of our new technique holds promise for mapping the seasonal and interannual extent of inundation, a key descriptor of wetlands hydrology. Numéro de notice : A2002-188 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800233 En ligne : https://doi.org/10.1109/TGRS.2002.800233 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22103 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
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065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Anomaly detection and classification for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1314 - 1325 Titre : Anomaly detection and classification for hyperspectral imagery Type de document : Article/Communication Auteurs : C.I. Chang, Auteur ; S.S. Chiang, Auteur Année de publication : 2002 Article en page(s) : pp 1314 - 1325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse discriminante [Termes IGN] capteur multibande [Termes IGN] classification [Termes IGN] détection d'erreur [Termes IGN] image hyperspectrale [Termes IGN] matrice de covariance Résumé : (Auteur) Anomaly detection becomes increasingly important in hyperspectral image analysis, since hyperspectral imagers can now uncover many material substances which were previously unresolved by multispectral sensors. Two types of anomaly detection are of interest and considered in this paper. One was previously developed by Reed and Yu to detect targets whose signatures are distinct from their surroundings. Another was designed to detect targets with low probabilities in an unknown image scene. Interestingly, they both operate the same form as does a matched filter. Moreover, they can be implemented in realtime processing, provided that the sample covariance matrix is replaced by the sample correlation matrix. One disadvantage of an anomaly detector is the lack of ability to discriminate the detected targets from another. In order to resolve this problem, the concept of target discrimination measures is introduced to cluster different types of anomalies into separate target classes. By using these class means as target information, the detected anomalies can be further classified. With inclusion of target discrimination in anomaly detection, anomaly classification can be implemented in a threestage process, first by anomaly detection to find potential targets, followed by target discrimination to cluster the detected anomalies into separate target classes, and concluded by a classifier to achieve target classification. Experiments show that anomaly classification performs very differently from anomaly detection. Numéro de notice : A2002-189 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800280 En ligne : https://doi.org/10.1109/TGRS.2002.800280 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22104 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The constrained signal detector / S. Johnson in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1326 - 1337 Titre : The constrained signal detector Type de document : Article/Communication Auteurs : S. Johnson, Auteur Année de publication : 2002 Article en page(s) : pp 1326 - 1337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] détecteur [Termes IGN] distribution de Gauss [Termes IGN] estimation statistique [Termes IGN] matrice de covariance Résumé : (Auteur) The problem of detecting a materialofinterest in a hyperspectral image is considered. Knowledge of the background materials in the image is assumed. It is also assumed that the stochastic noise in the system has a Gaussian distribution with a known covariance matrix. Using these assumptions, along with the requirement that the material abundances in the pixel must sum to one, a filter called the constrained signal detector (CSD) is derived. The CSD is a variation of the generalized likelihood ratio test (GLRT). Where the GLRT uses maximumlikelihood estimates (MLEs) of the noise in the received signal, the CSD uses constrained least squares (CLS) noise estimates. It will be shown that the CSD is actually a scaling of the CLS target abundance estimate which has been derived elsewhere. However, the CSD computes that estimate much more efficiently then existing methods do. It is proved that the CSD outperforms the orthogonal subspace projection (OSP) detector and that the CSD is the optimal detector when there is only one background material present. Numéro de notice : A2002-190 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800434 En ligne : https://doi.org/10.1109/TGRS.2002.800434 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22105 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An experimental study on content-based image classication for image databases / R.D. Holowczak in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1338 - 1347 Titre : An experimental study on content-based image classication for image databases Type de document : Article/Communication Auteurs : R.D. Holowczak, Auteur ; F.J. Artigas, Auteur ; S.A. Chunfang, Auteur ; J.S. Cho, Auteur ; H.S. Stone, Auteur Année de publication : 2002 Article en page(s) : pp 1338 - 1347 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données d'images [Termes IGN] classification dirigée [Termes IGN] image NOAA-AVHRR [Termes IGN] nébulosité [Termes IGN] reconnaissance automatique [Termes IGN] zone d'intérêt Résumé : (Auteur) Current art uses metadata associated with satellite images to facilitate their retrieval from image repositories. Typical metadata are geographic location, time, and data type. Because the metadata do not indicate which regions within an image are obscured by clouds, retrieval with such metadata may produce an image within which the region of interest (ROI) for the user is not visible. We report a system that can automatically determine whether an ROI is visible in the image, and can incorporate this into the metadata for individual images to enhance searching capability. The goal is to annotate each image with metadata regarding a number of ROIs. An experiment with the system annotated 236 advanced very high resolution radiometer (AVHRR) images of the North Atlantic from a flvemonth viewing period with descriptors that expressed the visibility of an ROI centered on Long Island, NY. For ground truth, we used the classifications of three human subjects to determine visibility of the same region of interest, and labeled the ROI with the majority decision of the three subjects. Partial cloud cover made the human determination subjective, and resulted in disagreements among the subjects. Using randomly selected training subsets of the images, we found the two images whose regions were most like those in images for which the Long Island region was visible. For training subsets, the descriptors derived from the two best images produced average recall and precision retrieval results jointly in the 75% to 80% region. Descriptors derived from those same two images for the test subsets also produced average recall and precision results that jointly fell in the 75% to 80% region. Numéro de notice : A2002-191 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800751 Date de publication en ligne : 02/08/2002 En ligne : https://doi.org/10.1109/TGRS.2002.800751 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22106 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible