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Mapping residential density patterns using multi- temporal Landsat data and decision-tree classifier / S. Mccauley in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1077 - 1094 Titre : Mapping residential density patterns using multi- temporal Landsat data and decision-tree classifier Type de document : Article/Communication Auteurs : S. Mccauley, Auteur ; S.J. Goetz, Auteur Année de publication : 2004 Article en page(s) : pp 1077 - 1094 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] classification par arbre de décision [Termes IGN] densité de population [Termes IGN] image Landsat-TM [Termes IGN] population urbaine [Termes IGN] utilisation du sol Résumé : (Auteur) We examined the utility of Landsat Thematic Mapper (TM) imagery for mapping residential land use in Montgomery County, Maryland, USA. The study area was chosen partly because of the availability of a unique parcel-level database of land use attributes and an associated digital map of parcel boundaries. These data were used to develop a series of land use classifications from a combination of leaf-on and leaf-off TM image derivatives and an algorithm based on 'decision tree' theory. Results suggest potential utility of the approach, particularly to state and local governments for land use mapping and planning applications, but greater accuracies are needed for broad practical application. In general, it was possible to discriminate different densities of residential development, and to separate these from commercial/industrial and agricultural areas. Difficulties arose in the discrimination of low-density residential areas due to the range of land cover types within this specific land use, and their associated spatial variability. The greater classification errors associated with these low-density developed areas were not unexpected. We found that these errors could be mitigated somewhat with techniques that consider the mode of training data selection and by incorporation of methods that account for the presence and amount of impervious surfaces (e.g. pavement and rooftops). Numéro de notice : A2004-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115102 En ligne : https://doi.org/10.1080/0143116031000115102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26612 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Geometric correction accuracy of IRS-1D PAN imagery using topographic map versus GPS control points / M. Turker in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1095 - 1104 Titre : Geometric correction accuracy of IRS-1D PAN imagery using topographic map versus GPS control points Type de document : Article/Communication Auteurs : M. Turker, Auteur ; A.O. Gacemer, Auteur Année de publication : 2004 Article en page(s) : pp 1095 - 1104 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte topographique [Termes IGN] coordonnées géographiques [Termes IGN] Global Positioning System [Termes IGN] image panchromatique [Termes IGN] IRS [Termes IGN] point d'appui [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) Geometric correction accuracy of IRS-1D panchromatic imagery was investigated using GPS- and 1:25000 scale topographic map-derived control points. The differentially corrected GPS-derived coordinates provided markedly more accurate results than did uncorrected handheld GPS and map-derived GCPs. The rms error value of differentially corrected GPS-derived control points based on second-degree polynomial was in the order of + 3 m. Geometric corrections made with second-degree polynomials, using both the map- and uncorrected handheld GPS-derived control points, yielded rms error values in the order of + 5 m. The results revealed that the uncorrected handheld GPS-derived control points can be a valuable alternative to planimetric control for geometric correction of IRS-1C/D panchromatic imagery with one-pixel size accuracy. Numéro de notice : A2004-086 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150086 En ligne : https://doi.org/10.1080/0143116031000150086 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26613 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Smoothing vegetation spectra with wavelets / K.S. Schmidt in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1167 - 1184 Titre : Smoothing vegetation spectra with wavelets Type de document : Article/Communication Auteurs : K.S. Schmidt, Auteur ; Andrew K. Skidmore, Auteur Année de publication : 2004 Article en page(s) : pp 1167 - 1184 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] filtrage numérique d'image [Termes IGN] lissage de données [Termes IGN] ondelette [Termes IGN] réflectance spectrale [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) In hyperspectral remote sensing, spectra are increasingly analysed using methods developed for laboratory studies, such as derivative analysis. These techniques require smooth reflectance spectra. Therefore, there is a need for smoothing algorithms that fulfil the requirement of preserving local spectral features while simultaneously removing noise. Noise occurs in variable intensity and over different band widths. Several methods for smoothing a signal exist, including the widely used median and mean filters, the Savitzky-Golay filter applied to laboratory spectra, the cubic spline, and the recently developed transform-based thresholding using the wavelet transform. We compare all these methods using reflectance spectra of the canopy of salt marsh vegetation. The best trade-off between noise reduction and the preservation of spectral features was found to be the wavelet transform, specifically using a translation invariant de-noising based on the non-decimated or stationary wavelet transform. Numéro de notice : A2004-087 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115085 En ligne : https://doi.org/10.1080/0143116031000115085 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26614 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI / J. Krishnaswamy in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1185 - 1205 Titre : Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI Type de document : Article/Communication Auteurs : J. Krishnaswamy, Auteur ; M.C. Kiran, Auteur ; K.N. Ganeshaiah, Auteur Année de publication : 2004 Article en page(s) : pp 1185 - 1205 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] arbre (mathématique) [Termes IGN] classification [Termes IGN] classification dirigée [Termes IGN] écosystème [Termes IGN] Kappa de Cohen [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] végétation Résumé : (Auteur) Many vegetation classification strategies in tropical ecosystems involving conventional image processing of original satellite imagery bands require considerable prior site knowledge, statistical assumptions, and are difficult, expensive and inconsistent. In this paper we show that the intra-annual variation and rates of change in NDVI for different parts of a large forest area in combination with rules derived from a tree model can be used for detailed vegetation mapping. We used three-date NDVI data for the Biligiri Rangaswamy Temple Wildlife Sanctuary in Karnataka, southern India comprising mean NDVI, coefficient of variation (CV) and two NDVI change vectors corresponding to intraseasonal NDVI differences. A rule-based classification using a tree model was developed at two levels. The overall kappa statistic is 0.61 at level 1 classification. indicating a strong correspondence with the raster version of the available vector reference map based on ground data, even though the two maps are not strictly comparable. Several limitations of the available reference map have been highlighted by the new technique, especially the absence of ecotones. At level two the tree model map has provided detailed classification of dry deciduous forests and new classes not available in the reference map. The method in combination with reference data also provides a framework for fuzzy classification. This technique offers a relatively simple cost-effective alternative to existing classification strategies, especially for areas with diverse evergreen and deciduous vegetation elements. Numéro de notice : A2004-088 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000149989 En ligne : https://doi.org/10.1080/0143116031000149989 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26615 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt