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Auteur A. Muller |
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De-shadowing of satellite/airborne imagery / R. Richter in International Journal of Remote Sensing IJRS, vol 26 n° 15 (August 2005)
[article]
Titre : De-shadowing of satellite/airborne imagery Type de document : Article/Communication Auteurs : R. Richter, Auteur ; A. Muller, Auteur Année de publication : 2005 Article en page(s) : pp 3137 - 3148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande visible
[Termes IGN] correction des ombres
[Termes IGN] filtre numérique
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] image spatiale
[Termes IGN] matrice de covariance
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] seuillage d'imageRésumé : (Auteur) A de-shadowing technique is presented for multispectral and hyperspectral imagery over land acquired by satellite/airborne sensors. The method requires a channel in the visible and at least one spectral band in the near-infrared (0.8-1um) region, but performs much better if bands in the short-wave infrared region (around 1.6 and 2.2 um) are available as well. The algorithm consists of these major components: (i) calculation of the covariance matrix and zero-reflectance matched filter vector, (ii) derivation of the unsealed and scaled shadow function, (iii) histogram thresholding of the unscaled shadow function to define the core shadow areas, (iv) region growing to include the surroundings of the core shadow areas for a smooth shadowlclear transition, and (v) de-shadowing of the pixels in the final shadow mask. The critical parameters of the method are discussed. Example images from different climates and landscapes are presented to demonstrate the successful performance of the shadow removal process over land surfaces. Numéro de notice : A2005-323 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500114664 En ligne : https://doi.org/10.1080/01431160500114664 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27459
in International Journal of Remote Sensing IJRS > vol 26 n° 15 (August 2005) . - pp 3137 - 3148[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05151 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Spectral and radiometric requirements for the airborne thermal imaging spectrometer ARES / R. Richter in International Journal of Remote Sensing IJRS, vol 26 n° 15 (August 2005)
[article]
Titre : Spectral and radiometric requirements for the airborne thermal imaging spectrometer ARES Type de document : Article/Communication Auteurs : R. Richter, Auteur ; A. Muller, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 3149 - 3162 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Airborne Reflective/Emissive Spectrometer
[Termes IGN] capteur aérien
[Termes IGN] image thermique
[Termes IGN] longueur d'onde
[Termes IGN] radiance
[Termes IGN] simulation
[Termes IGN] spectromètreRésumé : (Auteur) ARES (Airborne Reflective/Emissive Spectrometer) is an airborne imaging spectrometer for remote sensing of land surfaces covering the wavelength regions 0.45-2.45 um and 8-13 um with 160 channels. The instrument is being built by Integrated Spectronics, financed by DLR and GFZ, and will be available to the scientific community from 2005 on. This contribution presents the design of the thermal spectrometer covering the 8-13 um region with 32 channels of 150 nm bandwidth while a separate paper treats the instrument specifications in the solar reflective region. The spectroradiometric design is based on scientific requirements derived from application scenarios comprising vegetation, soils of different compositions, and mineral exploration. The corresponding emissivity spectra are input for a simulation model that calculates at-sensor radiance spectra, resamples them with the channel-specific response functions, adds different amounts of sensor noise to the signal, and performs a retrieval to get the corresponding noisy surface emissivity spectra. The results of the simulation study indicate that a spectral wavelength accuracy of 3 nm and a sensor noise equivalent temperature of 0.05 - 0.1K are required for an accurate retrieval of emissivity spectra. Numéro de notice : A2005-324 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500127658 En ligne : https://doi.org/10.1080/01431160500127658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27460
in International Journal of Remote Sensing IJRS > vol 26 n° 15 (August 2005) . - pp 3149 - 3162[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05151 RAB Revue Centre de documentation En réserve L003 Exclu du prêt