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Temporal mixture analysis for estimating impervious surface area from multi-temporal MODIS NDVI data in Japan / F. Yang in ISPRS Journal of photogrammetry and remote sensing, vol 72 (August 2012)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 72 (August 2012) . - pp 90 - 98 Titre : Temporal mixture analysis for estimating impervious surface area from multi-temporal MODIS NDVI data in Japan Type de document : Article/Communication Auteurs : F. Yang, Auteur ; B. Matsushita, Auteur ; T. Fukushima, Auteur ; W. Yang, Auteur Année de publication : 2012 Article en page(s) : pp 90 - 98 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] analyse des mélanges temporels [Termes descripteurs IGN] image Aqua-MODIS [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] image optique [Termes descripteurs IGN] Japon [Termes descripteurs IGN] Normalized Difference Vegetation Index [Termes descripteurs IGN] série temporelle [Termes descripteurs IGN] surface imperméable Résumé : (Auteur) As a proxy measure of the human ecological footprint, impervious surface area (ISA) has recently become a key concept in the field of urban remote sensing, with a focus on estimation of the ISA at a city-scale by using Landsat-style satellite images. However, ISA estimation is also in demand in disciplines such as the environmental assessment and policy making at a national scale. This paper proposes a new method for estimating the ISA fraction in Japan based on a temporal mixture analysis (TMA) technique. The required inputs for the proposed method are rearranged MODIS NDVI time-series datasets at the temporal stable zone (i.e., the first to the sixth largest NDVI values in a year). Three ISA distribution maps obtained from Landsat-5 TM data were used as reference maps to evaluate the performance of the proposed method. The results showed that the proposed TMA-based method achieved a large reduction in the effects of endmember variability compared with the previous methods (e.g., SMA and NSMA), and thus the new method has promising accuracy for estimating ISA in Japan. The overall root mean square error (RMSE) of the proposed method was 8.7%, with a coefficient of determination of 0.86, and there was no obvious underestimation or overestimation for the whole ISA range. Numéro de notice : A2012-495 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31941 [article]

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Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification / S.T. Tu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 170 - 179 Titre : Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification Type de document : Article/Communication Auteurs : S.T. Tu, Auteur ; J.H. Chen, Auteur ; W. Yang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 170 - 179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] classification Laplacian Eigenmap [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] polarimétrie radar Résumé : (Auteur) In this paper, we propose a novel scheme of polarimetric synthetic aperture radar (PolSAR) image classification. We apply Laplacian eigenmaps (LE), a nonlinear dimensionality reduction (NDR) technique, to a high-dimensional polarimetric feature representation for PolSAR land-cover classification. A wide variety of polarimetric signatures are chosen to construct a high-dimensional polarimetric manifold which can be mapped into the most compact low-dimensional structure by manifold-based dimensionality reduction techniques. This NDR technique is employed to obtain a low-dimensional intrinsic feature vector by the LE algorithm, which is beneficial to PolSAR land-cover classification owing to its local preserving property. The effectiveness of our PolSAR land-cover classification scheme with LE intrinsic feature vector is demonstrated with the RadarSat-2 C-band PolSAR data set and the 38th Research Institute of China Electronics Technology Group Corporation X-band PolInSAR data set. The performance of our method is measured by the separability in the feature space and the accuracy of classification. Comparisons on the feature space show that the LE intrinsic feature vector is more separable than different original feature vectors. Our LE intrinsic feature vector also improves the classification accuracy. Numéro de notice : A2012-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2168532 date de publication en ligne : 26/10/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2168532 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31481 [article]

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Semantic web services-based process planning for earth science applications / P. Yue in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1139 - 1163 Titre : Semantic web services-based process planning for earth science applications Type de document : Article/Communication Auteurs : P. Yue, Auteur ; W. Yang, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 1139 - 1163 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] datation [Termes descripteurs IGN] implémentation (informatique) [Termes descripteurs IGN] intelligence artificielle [Termes descripteurs IGN] modélisation [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] processus [Termes descripteurs IGN] service web géographique [Termes descripteurs IGN] service web sémantique Résumé : (Auteur) In a Web service-based distributed environment, individual services must be chained together dynamically to solve a complex real world problem. The Semantic Web Service has shown promise for automatic chaining of Web services. This paper addresses semi-automatic geospatial service chaining through Semantic Web Services-based process planning. Process planning includes three phases: process modeling, process model instantiation and workflow execution. Ontologies and Artificial Intelligence (AI) planning methods are employed in process planning to help a user dynamically create an executable workflow for earth science applications. In particular, the approach was implemented in a common data and service environment enabled by interoperable standards from OGC and W3C. A case study of the chaining process for wildfire prediction illustrates the applicability of this approach. Copyright Taylor & Francis Numéro de notice : A2009-383 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30013 [article]

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Digital processing and information extraction of the remote sensing images in the Yangtze Three Gorges project region, China / W. Yang (1999)

Public Titre : Digital processing and information extraction of the remote sensing images in the Yangtze Three Gorges project region, China Type de document : Monographie Auteurs : W. Yang, Auteur Editeur : Toulouse : Groupement pour le Développement de la Télédétection Aérospatiale GDTA Année de publication : 1999 Importance : 36 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] accentuation d'image [Termes descripteurs IGN] barrage [Termes descripteurs IGN] carte géologique [Termes descripteurs IGN] Chine [Termes descripteurs IGN] correction géométrique [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] effondrement de terrain [Termes descripteurs IGN] Fleuve bleu (Chine) [Termes descripteurs IGN] fusion d'images [Termes descripteurs IGN] géologie locale [Termes descripteurs IGN] image ERS-SAR [Termes descripteurs IGN] image multibande [Termes descripteurs IGN] image panchromatique [Termes descripteurs IGN] image radar [Termes descripteurs IGN] image SPOT [Termes descripteurs IGN] linéament [Termes descripteurs IGN] Trois Gorges, barrage des Résumé : (Auteur) The Yangtze Three Gorges Project is the largest water conservancy project built in the world. The investigations have shown that hundreds of the geological hazards as landslides and rockfalls were developed along the banks of the reservoir, many of them are in an active stage at present. These may have an important influence on the stability of the bank slopes of the reservoir and the environment. It is very available to choose the remote sensing technique as a main method for study and assessing rapidly the impacts on the project and on natural environment. A remote sensing image objectively and continually records information on the surface geometric forms and physical properties (tones/colors) of geological bodies, both the overall and the individual parts, with a high quality summary. Therefore, using remote sensing images to analyze the deformation of geological bodies and extract information related not only provides useful data, but also is helpful for combining fracture systems of rocks and structural deformation with geological formations very well, so as to achieve conclusions that coincide with objective reality. Furthermore, a synthesizing application of new techniques and methods, such as the fusion of multi-type images, the composite processing of multisource information of geological, geochemical and geophysical data with RS, GIS and GPS data and the 3-dimension display, greatly enhances actual effect of useful information. Multi-time-phase of SPOT images, ERS-SAR image Radarsat images and Landsat TM images were applied in the study. The ARSIS method (Ranchin and Wald, 1999) was mainly used to make fusion of the SPOT XS and Panchromatic images, of the SPOT images and the ERS-SAR image, achieving high quality of image results. Through a digital processing and information extraction of remote sensing images, many new geological, structural features and hazard phenomenon are found, achieving remarkable results: (1) In the Wanxian-Wushan test region, using the theory and method of phase-separation analysis of remote sensing information field (YANG Wunian, 1997), geological and structural features were systematically interpreted with remote sensing images and the linear and circular structures were quantitatively analyzed. With a synthesizing analysis of the combined folds, faults and related major joint systems, four periods of structural deformation and the resulted deformation fields were determined. As a result, four tectonic stress fields produced successively during the Yanshanian to Himalayan period were recovered. (2) In the Xiangxi-Yichang district, using the resulting images of fusion of multi-time-phase of SPOT images and ERS-SAR image, an imaging-geological map and a geological interpretation map were finished. These maps and images will be very available and important materials for deeply studying geological environment in the region. The imaging-geological map and the geological interpretation map show distinctly that the dam of the Three Gorges Project is set on a complete rigid landmass of crystalline rock (granite) and no bigger active fault in the surrounding area, with a stable geological environment. (3), In the Wanxian-Yunyang district, through fusion's of the Landsat TM 4,5,3 images and SPOT P image, a lot of the best image results with high spatial resolution of 10m and being affluent in colors were obtained. Many 3-D viewing maps of remote sensing images of the landform relief, with a high resolution and being projected from different directions, were established. With which, quantitative analysis as drawing a section of landform and detecting DEM of some objects can be done directly and rapidly. Note de contenu : GEOLOGIC BACKGROUND AND LANDFORM 1. The stratigraphy and petrography 2. Geologic structures - Geotectonics - Regional tectonics 3. Characteristics of the geomorphology 4. Landslides and rockfalls DIGITAL PROCESSING OF REMOTE SENSING IMAGE AND INFORMATION EXTRACTION 1. The data available 2. Digital processing of the remote sensing images - Geometric correction of the images - Enhancement of the images - Fusion of the SPOT images and the ERS-SAR image - Fusion of multisource informationof geological, geochemical and geophysical data with RS, GIS and GPS data. GEOLOGICAL INTERPRETATION OF THE REMOTE SENSING IMAGES 1 Linear structures and structural stress fields related 2 Geological interpretation and mapping. Numéro de notice : 23286 Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55816

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