Centre de documentation
scientifique

Dépouillements

Spatial resolution improvement of remote sensing images by fusion of subpixel-shifted multi-observation images / Y. Lu in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4647 - 4660 Titre : Spatial resolution improvement of remote sensing images by fusion of subpixel-shifted multi-observation images Type de document : Article/Communication Auteurs : Y. Lu, Auteur ; M. Inamura, Auteur Année de publication : 2003 Article en page(s) : pp 4647 - 4660 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] conflation [Termes IGN] fusion d'images [Termes IGN] image à haute résolution [Termes IGN] image Landsat-TM [Termes IGN] image multicapteur [Termes IGN] limite de résolution géométrique [Termes IGN] précision infrapixellaire [Termes IGN] qualité géométrique (image) [Termes IGN] résolution multiple Résumé : (Auteur) Multi-observation of satellite remote-sensing provides the ability to achieve a higher spatial resolution image. Based on the relation between sensors of different spatial resolution, this paper presents a multi-observation in spatial called subpixel-shifted multi-observation, to acquire a more accurate image of higher spatial resolution than the original observations. In this kind of observation, the same area on the ground is observed repeatedly with a spatial resolution in a subpixel shifted way. All the acquired observation images are combined into a higher resolution image. This formulated as a super-resolution equation. When comparing the existing super-resolution algorithms, we find that the Iterative Back-Projection (IBP) method suggested by Peleg et al. is an appropriate and effective method for solving this problem. Based on IBP, a pratical implementation is presented. Computer experiments on remote sensing images and error analysis show its effectiveness. Some problems, such as back projection, undersampling, and fusion of observed samples, are discussed further. The resultant image from this method has both better quality and higher spatial resolution than the original observation. Numéro de notice : A2003-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001595064 En ligne : https://doi.org/10.1080/01431160310001595064 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22607 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Geometric processing of hyperspectral image data acquired by VIFIS on board light aircraft / Y. Gu in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4681 - 4698 Titre : Geometric processing of hyperspectral image data acquired by VIFIS on board light aircraft Type de document : Article/Communication Auteurs : Y. Gu, Auteur ; J.M. Anderson, Auteur Année de publication : 2003 Article en page(s) : pp 4681 - 4698 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] capteur en peigne [Termes IGN] correction géométrique [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] longueur d'onde [Termes IGN] spectromètre imageur [Termes IGN] Variable-Interference-Filter Imaging Spectrometer Résumé : (Auteur) The Variable-Interference-Filter Imaging Spectrometer (VIFIS) is an airborne imaging system. Unlike usual airborne spectrometers, the image acquisition of VIFIS is based on 2D sensors with its pixel spatially registered to different passing wavelengths. The correction of perturbations upon the VIFIS platform, required by the hyperspectral image generation, relies solely on the information extracted from the 2D pushbroom image flow. In this paper, we present an analysis of the distortions of the pushbroom scan caused by perturbations upon the platform. Hyperspectral image generation algorithms and band registration methods are also discussed. A practical pre-processing approach is developed to automatically track the displacements and generate up to 64 hyperspectral bands. Finally, a preprocessing example is presented as a demonstration of the overall methodology. Numéro de notice : A2003-312 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000084305 En ligne : https://doi.org/10.1080/0143116031000084305 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22608 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Characterization of rainfall-induced landslides / F.C. Dai in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4817 - 4834 Titre : Characterization of rainfall-induced landslides Type de document : Article/Communication Auteurs : F.C. Dai, Auteur ; C.F. Lee, Auteur ; S.J. Wang, Auteur Année de publication : 2003 Article en page(s) : pp 4817 - 4834 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] altitude [Termes IGN] effondrement de terrain [Termes IGN] érosion hydrique [Termes IGN] flore locale [Termes IGN] géomorphologie locale [Termes IGN] gradient de pente [Termes IGN] Hong-Kong [Termes IGN] intégration de données [Termes IGN] pente [Termes IGN] photographie aérienne [Termes IGN] pluie [Termes IGN] risque naturel [Termes IGN] ruissellement [Termes IGN] système d'information géographique Résumé : (Auteur) The northern part of Lantau Island in Hong Kong is undergoing very rapid development following completion of the Hong Kong International Airport at Chek Lap Kok on the island. This development is adjacent to a range of steeply sloping hills that experience levels of annual rainfall in the range of 2000-2400mm. Rainfall-induced landslides on this steeply sloping natural terrain are therefore potential hazards to property developments downslope. The objective of this study is to characterize the initiation process and the subsequent travel distance of the landslides resulting from recent rainstorms, by integrating aerial photogrammetry with GIS. These landslides, which occurred during the 18 July 1992 and 4-5 November 1993 rainstorms, were interpreted from sequential aerial photographs. Data on these landslides were collected to form a landslide database. Such data, together with information on geology, slope gradient, elevation, slope aspect, slope shape, and vegetation cover were entered into a Geographical Information System (GIS), to determine the geologic and geomorphologic characteristics of the landslide source and to estimate the travel distance of landslide debris. It is demonstrated that this integrated approach of GIS and aerial photogrammetry could serve as an effective means of landslide characterization. Numéro de notice : A2003-313 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/014311601131000082424 En ligne : https://doi.org/10.1080/014311601131000082424 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22609 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Classification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks / C.S. Murthy in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4871 - 4890 Titre : Classification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks Type de document : Article/Communication Auteurs : C.S. Murthy, Auteur ; P.V. Raju, Auteur ; K.V.S. Badrinath, Auteur Année de publication : 2003 Article en page(s) : pp 4871 - 4890 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] agriculture [Termes IGN] analyse diachronique [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par réseau neuronal [Termes IGN] cultures [Termes IGN] image multitemporelle [Termes IGN] neurone artificiel Résumé : (Auteur) the need for multi-temporal data analysis for delineation of wheat crop has been demonstrated first. It is found that Maximum Likelihood Classification (MLC) with the composite data of multi-temporal images is limited by the problem of large null set containing crop pixels. Therefore, for effective classification of multi-temporal images, two approaches are evaluated : (1) MLC with different strategies-sequential MLC (s_MLC), MLC with Principal Components (pca_MLC) and iterative MLC (i_MLC) ; and (2) Artificial Neural Network (ANN) with back-propagation method. These classifiers were applied on multi-temporal Indian Remote-Sending satellite (IRS)-1 B images to classify wheat crop in two areas of India, one with dominant wheat and the other with less dominant wheat cultivation. Among the three strategies of MLC, i_MLC has resulted in relatively better classification of wheat. However, the correctness of labelling of wheat pixels. The performance of ANN is proved to be better, in both the situations of dominant wheat and less dominant wheat cultivation. Numéro de notice : A2003-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000070490 En ligne : https://doi.org/10.1080/0143116031000070490 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22610 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Training a neural network with a canopy reflectance model to estimate crop leaf area index / F. Mark Danson in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4891 - 4905 Titre : Training a neural network with a canopy reflectance model to estimate crop leaf area index Type de document : Article/Communication Auteurs : F. Mark Danson, Auteur ; C.S. Rowland, Auteur Année de publication : 2003 Article en page(s) : pp 4891 - 4905 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] betterave sucrière [Termes IGN] classification par réseau neuronal [Termes IGN] indice de végétation [Termes IGN] Leaf Area Index [Termes IGN] neurone artificiel [Termes IGN] réflectance végétale Résumé : (Auteur) This paper outlines the strategies available for estimating the biophysical properties of crop canopies from remotely sensed data. Spectral reflectance and biophysical data were obtained over 132 plots of sugar beet (Beta vulgaris L.) and in the first part of the paper the strength of the relationships between vegetation indices (VI) and leaf area index (LAI) are examined. In the second part, an approach is tested in which a canopy reflectance model is used to generate simulated spectra for a wide range of biophysical conditions and these data are used to train an artificial neural network (ANN). The advantage of the second approach is that a priori knowledge of the measurement conditions including soil reflectance, canopy architecture and solar position can be included explicitly in the modelling. The results show that the estimation of sugar beet LAI using a trained neural network is more reliable than the use of VI and has the potential to replace the use of VI for operational applications. The use of a priori data on the variation in soil spectral reflectance gave rise to a small increase in LAI estimation accuracy. Numéro de notice : A2003-315 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000070319 En ligne : https://doi.org/10.1080/0143116031000070319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22611 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Assessment of shoreline changes in the western side of Zanzibar channel using satellite remote sensing / Y.W. Shaghude in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 23 (December 2003) . - pp 4953 - 4967 Titre : Assessment of shoreline changes in the western side of Zanzibar channel using satellite remote sensing Type de document : Article/Communication Auteurs : Y.W. Shaghude, Auteur ; K.O. Wannas, Auteur ; B. Lunden, Auteur Année de publication : 2003 Article en page(s) : pp 4953 - 4967 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] delta [Termes IGN] effondrement de terrain [Termes IGN] littoral [Termes IGN] précipitation [Termes IGN] sédiment [Termes IGN] Tanzanie [Termes IGN] télédétection spatiale Résumé : (Auteur) The present study uses a satellite remote sensing approach for assesssing coastal sediment dynamics in the western side of the Zanzibar channel, Tanzania. Four Landsat images (1986, 1998, 1999 and 2000) were used for the study. investigation of the four images revealed that the Ruvu delta north of the river mouth has been growing rapidly, especially between 1986 and 1998, with an annual northward linear growth rate of about 133m year -1 and an annual areal growth rate of about 1 km2 every 3 years. The study identified a palaeo-shoreline feature that is parallel to the present shoreline and located about 1.9 km inland from the present shoreline. An important sediment contributor to river Ruvu is derived from the Uluguru Mountains, a tropical mountainous area located about 200 km from the coastline of the Tanzania mainland. The working hypothesis is that either the observed growth of the delta occured at a gradual rate between 1986 and 1998 or it was mainly an episodic event related to the extreme rainfall events such as the 1997/98 El Nino-Southern Oscillation (ENSO) event, which was associated with extreme rainfall and widespread landslides. Numéro de notice : A2003-316 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000102430 En ligne : https://doi.org/10.1080/0143116031000102430 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22612 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt