Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 74 n° 5Paru le : 01/05/2008 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierA standardized probability comparison approach for evaluating and combining pixel-based classification procedures / D. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
[article]
Titre : A standardized probability comparison approach for evaluating and combining pixel-based classification procedures Type de document : Article/Communication Auteurs : D. Chen, Auteur Année de publication : 2008 Article en page(s) : pp 601 - 609 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse combinatoire (maths)
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification pixellaire
[Termes IGN] image Ikonos
[Termes IGN] précision de la classificationRésumé : (Auteur) In this paper, a standardized probability approach is presented to evaluate the pixel labeling confidence of each pixel and then combine the classification maps generated from different classification procedures for improving classification accuracy. This approach examines the posterior probability of the maximum-likelihood classifier or inverse-distance weight for the minimum-distance classifier for each pixel. It recommends that, for every classification, a standardized probability map should be outputted along with the classified map to show the pixel labeling confidence for all pixels. Tests based on different feature combinations and training strategies from Ikonos data show that the proposed approach was effective in improving the labeling confidence, as well as overall classification accuracy when classified maps from different classification procedures were combined. This standardized probability can be used to provide additional spatial information along with the traditional accuracy assessment. Copyright ASPRS Numéro de notice : A2008-176 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.5.601 En ligne : https://doi.org/10.14358/PERS.74.5.601 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29171
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 5 (May 2008) . - pp 601 - 609[article]Shadow-Effect correction in aerial color imagery / H.G. Sohn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
[article]
Titre : Shadow-Effect correction in aerial color imagery Type de document : Article/Communication Auteurs : H.G. Sohn, Auteur ; K.H. Yun, Auteur Année de publication : 2008 Article en page(s) : pp 611 - 618 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] correction des ombres
[Termes IGN] données multisources
[Termes IGN] image aérienne
[Termes IGN] image en couleur
[Termes IGN] image satellite
[Termes IGN] milieu urbain
[Termes IGN] segmentation d'imageRésumé : (Auteur) Due to the existence of shadows, especially in urban environments, it is difficult to extract semantic information from aerial and high-resolution satellite images. In this paper, an efficient method of correcting shadow effects using multisource data sets in aerial color images is proposed. The proposed method has three steps. First, it accurately detects the shadowed regions using the image geometry and the solar position of the image acquisition data. Then, the detected shadowed regions are segmented according to land surface type. Finally, the shadow effects of the segmented regions are corrected by directly comparing the same non shadow features with the segmented shadows. In the application part of this paper, the proposed techniques were applied in the extraction of an asphalt road from an image. Copyright ASPRS Numéro de notice : A2008-177 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.5.611 En ligne : https://doi.org/10.14358/PERS.74.5.611 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29172
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 5 (May 2008) . - pp 611 - 618[article]Comparison of nine fusion techniques for very high resolution data / K.G. Nikolapoulos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
[article]
Titre : Comparison of nine fusion techniques for very high resolution data Type de document : Article/Communication Auteurs : K.G. Nikolapoulos, Auteur Année de publication : 2008 Article en page(s) : pp 647 - 659 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] distorsion d'image
[Termes IGN] fusion d'images
[Termes IGN] image à résolution submétrique
[Termes IGN] image à très haute résolution
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] qualité des données
[Termes IGN] transformation de Brovey
[Termes IGN] transformation en ondelettes
[Termes IGN] transformation intensité-teinte-saturationRésumé : (Auteur) The term “image fusion” covers multiple techniques used to combine the geometric detail of a high-resolution panchromatic image and the color information of a low-resolution multispectral image to produce a final image with the highest possible spatial information content while still preserving good spectral information quality. During the last twenty years, many methods such as Principal Component Analysis (PCA), Multiplicative Transform, Brovey Transform, and IHS Transform have been developed producing good quality fused images. Despite the quite good visual results, many research papers have reported the limitations of the above fusion techniques. The most significant problem is color distortion. Another common problem is that the fusion quality often depends upon the operator’s fusion experience and upon the data set being fused. In this study, we compare the efficiency of nine fusion techniques and more specifically the efficiency of IHS, Modified IHS, PCA, Pansharp, Wavelet, LMM (Local Mean Matching), LMVM (Local Mean and Variance Matching), Brovey, and Multiplicative fusion techniques for the fusion of QuickBird data. The suitability of these fusion techniques for various applications depends on the spectral and spatial quality of the fused images. In order to quantitatively measure the quality of the fused images, we have made the following controls. First, we have examined the visual qualitative result. Then, we examined the correlation between the original multispectral and the fused images and all the statistical parameters of the histograms of the various frequency bands. Finally, we performed an unsupervised classification, and we compared the resulting images. All the fusion techniques improve the resolution and the visual result. The resampling method practically has no effect on the final visual result. The LMVM, the LMM, the Pansharp, and the Wavelet merging technique do not change the statistical parameters of the original images. The Modified IHS provokes minor changes to the statistical parameters than the classical IHS or than the PCA. After all the controls, the LMVM, the LMM, the Pansharp, and the Modified IHS algorithm seem to gather the more advantages in fusion panchromatic and multispectral data. Copyright ASPRS Numéro de notice : A2008-178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.5.647 En ligne : https://doi.org/10.14358/PERS.74.5.647 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29173
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 5 (May 2008) . - pp 647 - 659[article]Performance of GPS precise point positioning under conifer forest canopies / Erik Naesset in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)
[article]
Titre : Performance of GPS precise point positioning under conifer forest canopies Type de document : Article/Communication Auteurs : Erik Naesset, Auteur ; J.G. Gjevestad, Auteur Année de publication : 2008 Article en page(s) : pp 661 - 668 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] antenne GPS
[Termes IGN] forêt
[Termes IGN] GPS en mode différentiel
[Termes IGN] mesurage de pseudo-distance
[Termes IGN] Pinophyta
[Termes IGN] positionnement par GPS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] précision du positionnement
[Termes IGN] troncRésumé : (Auteur) A 20-channel, dual-frequency GPS receiver collecting pseudorange and carrier phase observations was used as a stand-alone receiver to determine positional accuracy of 19 points under conifer tree canopies. The positions were determined utilizing precise satellite orbit and clock products from the International GNSS Service. The mean positional accuracy ranged from 0.27 to 0.88 m for an observation period of 120 minutes, and 0.95 to 3.48 m for 15 minutes. For the 15 minute observation period computed positions could not be found for 8 to 44 percent of the locations. Accuracy increased with decreasing forest stand density. Stand basal area (R2 = 0.11, p Numéro de notice : A2008-179 Affiliation des auteurs : non IGN Thématique : FORET/POSITIONNEMENT Nature : Article DOI : 10.14358/PERS.74.5.661 En ligne : https://doi.org/10.14358/PERS.74.5.661 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29174
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 5 (May 2008) . - pp 661 - 668[article]