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SPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions / João M.B. Carreiras in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
[article]
Titre : SPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions Type de document : Article/Communication Auteurs : João M.B. Carreiras, Auteur ; J.M.C. Pereira, Auteur Année de publication : 2005 Article en page(s) : pp 1323 - 1346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] autocorrélation spatiale
[Termes IGN] cohérence des données
[Termes IGN] détection de changement
[Termes IGN] filtrage du bruit
[Termes IGN] forêt tropicale
[Termes IGN] image multitemporelle
[Termes IGN] image optique
[Termes IGN] image SPOT-Végétation
[Termes IGN] Mato Grosso
[Termes IGN] nébulosité
[Termes IGN] rapport signal sur bruit
[Termes IGN] Soil Adjusted Vegetation Index
[Termes IGN] surveillance agricole
[Termes IGN] utilisation du sol
[Termes IGN] zone intertropicaleRésumé : (Auteur) Multi-temporal compositing of SPOT-4 VEGETATION imagery over tropical regions was tested to produce spatially coherent monthly composite images with reduced cloud contamination, for the year 2000. Monthly composite images generated from daily images (S1 product, 1-km) encompassing different land cover. types of the state of Mato Grosso, Brazil, were evaluated in terms of cloud contamination and spatial consistency. A new multi-temporal compositing algorithm was tested which uses different criteria for vegetated and non-vegetated or sparsely vegetated land cover types. Furthermore, a principal components transformation that rescales the noise in the image-Maximum Noise Fraction (MNF)- was applied to a multi-temporal dataset of monthly composite images and tested as a method of additional signal-to-noise ratio improvement. The back-transformed dataset using the first 12 MNF eigenimages yielded an accurate reconstruction of monthly composite images from the dry season (May to September) and enhanced spatial coherence from wet season images (October to April), as evaluated by the Moran's 1 index of spatial autocorrelation. This approach is useful for land cover- change studies in the tropics, where it is difficult to obtain cloud-free optical remote sensing imagery. In Mato Grosso, wet season composite images are important for monitoring agricultural crop cycles. Numéro de notice : A2005-178 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331338005 En ligne : https://doi.org/10.1080/01431160512331338005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27315
in International Journal of Remote Sensing IJRS > vol 26 n° 7 (April 2005) . - pp 1323 - 1346[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05071 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Remote sensing image thresholding methods for determining landslide activity / P.L. Rosin in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)
[article]
Titre : Remote sensing image thresholding methods for determining landslide activity Type de document : Article/Communication Auteurs : P.L. Rosin, Auteur ; J. Hervas, Auteur Année de publication : 2005 Article en page(s) : pp 1075 - 1092 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] effondrement de terrain
[Termes IGN] filtrage numérique d'image
[Termes IGN] image satellite
[Termes IGN] Italie
[Termes IGN] orthorectification
[Termes IGN] seuillage d'imageRésumé : (Auteur) Detecting landslides and monitoring their activity is of great relevance for disastrer prevention, preparedness and mitigation in hilly areas. To this end, change detection techniques were developed and applied to multi-temporal digital aerial photographs, simulating the very high spatial resolution of new satellite sensor optical imagery, over the Tessina complex landslide in north-eastern Italy. Several automatic thresholding algorithms are compared on the difference orthorectified and radiometrically normalized images, including some standard methods based on clustering, statistics, moment and entropy, as well as some more novel techniques previously developed by the authors. In addition, a variety of filters were employed to eliminate much of the underisable residual clutter in the thresholded difference image, mainly as a result of natural vegetation and man-land cover changes. These filters are based on shape and size properties of the connected sets of pixels in the threshold maps. This has enabled us discriminate most ground surface changes related to the movement of a pre-existing landslide. Numéro de notice : A2005-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331330481 En ligne : https://doi.org/10.1080/01431160512331330481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27282
in International Journal of Remote Sensing IJRS > vol 26 n° 6 (March 2005) . - pp 1075 - 1092[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
[article]
Titre : Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks Type de document : Article/Communication Auteurs : J.C. Ingram, Auteur ; T.P. Dawson, Auteur ; R.J. Whittaker, Auteur Année de publication : 2005 Article en page(s) : pp 491 - 507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des correspondances
[Termes IGN] analyse multibande
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] densité
[Termes IGN] forêt tropicale
[Termes IGN] image Landsat-ETM+
[Termes IGN] Madagascar
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] radiance
[Termes IGN] troncRésumé : (Auteur) Tropical forest condition has important implications for biodiversity, climate change and human needs. Structural features of forests can serve as useful indicators of forest condition and have the potential to be assessed with remotely sensed imagery, which can provide quantitative information on forest ecosystems at high temporal and spatial resolutions. Herein, we investigate the utility of remote sensing for assessing, predicting and mapping two important forest structural features, stem density and basal area, in tropical, littoral forests in southeastern Madagascar. We analysed the relationships of basal area and stem density measurements to the Normalised Difference Vegetation Index (NDVI) and radiance measurements in bands 3, 4, 5 and 7 from the Landsat Enhanced Thematic Mapper Plus (ETM+). Strong relationships were identified among all of the individual bands and field based measurements of basal area (p Numéro de notice : A2005-069 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.001 En ligne : https://doi.org/10.1016/j.rse.2004.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27207
in Remote sensing of environment > vol 94 n° 4 (28/02/2005) . - pp 491 - 507[article]Satellite image classification using genetically guided fuzzy clustering with spatial information / S. Bandyopadhyay in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)
[article]
Titre : Satellite image classification using genetically guided fuzzy clustering with spatial information Type de document : Article/Communication Auteurs : S. Bandyopadhyay, Auteur Année de publication : 2005 Article en page(s) : pp 579 - 593 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] Bombay
[Termes IGN] classification floue
[Termes IGN] classification non dirigée
[Termes IGN] image satellite
[Termes IGN] pixel
[Termes IGN] segmentation d'image
[Termes IGN] utilisation du solRésumé : (Auteur) Land-cover classification of satellite images is an important task in analysis of remote sensing imagery. Segmentation is one of the widely used techniques in this regard. One of the important approaches for segmentation of an image is by clustering the pixels in the spectral domain, where pixels that share some common spectral property are put in the same group, or cluster. However, such spectral clustering completely ignores the spatial information contained in the pixels, which is often an important consideration for good segmentation of images. Moreover, the clustering algorithms often provide locally optimal solutions. In this paper, we propose to perform. image segmentation by a genetically guided unsupervised fuzzy clustering technique where some spatial information of the pixels is incorporated. Two ways of incorporating spatial information are suggested. The characteristic of this technique is that it is able to determine automatically the appropriate number of clusters without making any assumptions regarding the dataset. while attempting to provide globally near optimal solutions. In order to evolve the appropriate number of clusters, the chromosome encoding scheme is enhanced to incorporate the don't care symbol (#). Real-coded genetic algorithm with appropriatly defined operators is used. A cluster validity index is used as a measure of the value of the chromosomes. Results, both quantitative and qualitative are demonstrated for several images, including a satellite image of a part of the city of Mumbai. Numéro de notice : A2005-042 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331316432 En ligne : https://doi.org/10.1080/01431160512331316432 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27180
in International Journal of Remote Sensing IJRS > vol 26 n° 3 (February 2005) . - pp 579 - 593[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05031 RAB Revue Centre de documentation En réserve L003 Disponible Non rigid registration of shapes via diffeomorphic point matching and clustering / Laurent Garcin (2005)
Titre : Non rigid registration of shapes via diffeomorphic point matching and clustering Type de document : Article/Communication Auteurs : Laurent Garcin, Auteur ; Anand Rangarajan, Auteur ; Laurent Younes, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2005 Conférence : ICIP 2004, 11th IEEE International Conference on Image Processing 24/10/2004 27/10/2004 Singapour Singapour Proceedings IEEE Importance : pp 1703 - 1706 ou pp 3299 - 3302 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse de groupement
[Termes IGN] appariement de formes
[Termes IGN] appariement de points
[Termes IGN] méthode de réduction d'énergie
[Termes IGN] semis de pointsRésumé : (auteur) We propose an algorithm achieving the matching of two point sets with unknown correspondence via the joint clustering of the two sets and estimation of a diffeomorphism linking the cluster centers via geodesic splines. Numéro de notice : C2004-048 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2004.1421819 Date de publication en ligne : 18/04/2005 En ligne : https://doi.org/10.1109/ICIP.2004.1421819 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103043 Télédétection et paludisme urbain / Laurence Jolivet (2005)PermalinkFiltering airborne Laser scanner data: a wavelet-based clustering method / T. Thuy in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 11 (November 2004)PermalinkSpectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM+ imagery / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)PermalinkClustering with obstacles for geographical data mining / V. Estivill-Castro in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)PermalinkModelling fuzzy topological relations between uncertain objects in a GIS / Wei Shi in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)PermalinkA land cover classification product over France at 1 km resolution using Spot4-Vegetation data / K.S. Han in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkChange detection techniques / Dong Lu in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkAnalysis of four change detection algorithms in bi-temporal space with a case study / Y. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkFusion on multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition / M. Gonzalez-Audicana in IEEE Transactions on geoscience and remote sensing, vol 42 n° 6 (June 2004)PermalinkWavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping / R. Pu in Remote sensing of environment, vol 91 n° 2 (30/05/2004)Permalink