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Auteur Yong Wang |
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Removal of thin clouds using cirrus and QA bands of Landsat-8 / Yang Shen in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
[article]
Titre : Removal of thin clouds using cirrus and QA bands of Landsat-8 Type de document : Article/Communication Auteurs : Yang Shen, Auteur ; Yong Wang, Auteur ; Haitao Lv, Auteur ; Hong Li, Auteur Année de publication : 2015 Article en page(s) : pp 721 - 731 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bande infrarouge
[Termes IGN] coefficient de corrélation
[Termes IGN] épaisseur de nuage
[Termes IGN] image Landsat-8
[Termes IGN] nuage
[Termes IGN] réflectance spectraleRésumé : (auteur) After atmospheric correction, an algorithm for the removal of thin cirrus cloud as well as alto-thin clouds or thin clouds collectively within visible and near infrared bands (Bands 1 through 5) of Landsat-8 was developed. The algorithm removed cirrus clouds using Band 9 first, and the remaining thin clouds using quality assurance (QA) band. Using a Landsat-8 sub-image of 129/39 (path/row) acquired on 16 December 2013, we evaluated the algorithm. Thin clouds disappeared visually. Reflectance values of Bands 1 through 4 decreased in both steps. Reflectance values of Band 5 decreased in step one, and then stayed the same. With a nearly cloud-free image acquired on 30 November 2013 as the “truth,” the spatial correlation coefficients of cloud-covered pixels within the December image were 0.84 or higher. Changes in reflectance values of Bands 1 to 5, and the high correlation coefficient values indicated the validity of the algorithm. Numéro de notice : A2015-985 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.721 En ligne : http://dx.doi.org/10.14358/PERS.81.9.721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80266
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 721 - 731[article]Coastal wetland mapping combining multi-date SAR and LiDAR / Thomas Richard Allen in Geocarto international, vol 28 n° 7-8 (November - December 2013)
[article]
Titre : Coastal wetland mapping combining multi-date SAR and LiDAR Type de document : Article/Communication Auteurs : Thomas Richard Allen, Auteur ; Yong Wang, Auteur ; Brent Gore, Auteur Année de publication : 2013 Article en page(s) : pp 616 - 631 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] carte thématique
[Termes IGN] données lidar
[Termes IGN] espèce exotique envahissante
[Termes IGN] image radar moirée
[Termes IGN] littoral
[Termes IGN] marais
[Termes IGN] surveillance écologique
[Termes IGN] zone humideRésumé : (Auteur) Inventorying and monitoring are imperative to management of vulnerable coastal wetlands. Multi-date and multi-sensor remote sensing offer new capabilities to wetland programmes such as the US National Wetland Inventory. This pilot study focuses on swamp forests and pocosins, marshes, shrub–scrub and invasive Phragmites australis. Combinations of spaceborne multi-date Synthetic Aperture Radar (SAR) imagery and airborne light detection and ranging (LiDAR) elevation (bare earth elevation and vegetation height) were evaluated. Multi-date SAR data (horizontal-horizontal and horizontal-vertical dual polarizations) highlighted physiognomic dynamics, with LiDAR vegetation canopy discerning selected classes. The highest overall accuracy used SAR, LiDAR canopy and digital elevation model (DEM) data (81% = 0.744), but not significantly different from the SAR-only classification (81% = 0.742). Both classifications exceeded the data combination using SAR data and DEM (66% = 0.521) and SAR data with vegetation canopy (80% = 0.725). This approach requires investigation using advanced classification algorithms to prove its potential for monitoring wetland change, sea-level rise, and invasive species. Numéro de notice : A2013-700 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.768297 Date de publication en ligne : 05/04/2013 En ligne : https://doi.org/10.1080/10106049.2013.768297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32836
in Geocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 616 - 631[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Improved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal / Mingsheng Liao in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
[article]
Titre : Improved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal Type de document : Article/Communication Auteurs : Mingsheng Liao, Auteur ; Houjun Jiang, Auteur ; Yong Wang, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 72 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande X
[Termes IGN] cartographie topographique
[Termes IGN] Chine
[Termes IGN] effet atmosphérique
[Termes IGN] erreur en altitude
[Termes IGN] filtre passe-bas
[Termes IGN] image à haute résolution
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de terrain
[Termes IGN] régression linéaireRésumé : (Auteur) The application of SAR interferometry (InSAR) in topographic mapping is usually limited by geometric/temporal decorrelations and atmospheric effect, particularly in repeat-pass mode. In this paper, to improve the accuracy of topographic mapping with high-resolution InSAR, a new approach to estimate and remove atmospheric effect has been developed. Under the assumptions that there was no ground deformation within a short temporal period and insignificant ionosphere interference on high-frequency radar signals, e.g. X-bands, the approach was focused on the removal of two types of atmospheric effects, namely tropospheric stratification and turbulence. Using an available digital elevation model (DEM) of moderate spatial resolution, e.g. Shuttle Radar Topography Mission (SRTM) DEM, a differential interferogram was firstly produced from the high-resolution InSAR data pair. A linear regression model between phase signal and auxiliary elevation was established to estimate the stratified atmospheric effect from the differential interferogram. Afterwards, a combination of a low-pass and an adaptive filter was employed to separate the turbulent atmospheric effect. After the removal of both types of atmospheric effects in the high-resolution interferogram, the interferometric phase information incorporating local topographic details was obtained and further processed to produce a high-resolution DEM. The feasibility and effectiveness of this approach was validated by an experiment with a tandem-mode X-band COSMO-SkyMed InSAR data pair covering a mountainous area in Northwestern China. By using a standard Chinese national DEM of scale 1:50,000 as the reference, we evaluated the vertical accuracy of InSAR DEM with and without atmospheric effects correction, which shows that after atmospheric signal correction the root-mean-squared error (RMSE) has decreased from 13.6 m to 5.7 m. Overall, from this study a significant improvement to derive topographic maps with high accuracy has been achieved by using the proposed approach. Numéro de notice : A2013-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.03.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.03.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32436
in ISPRS Journal of photogrammetry and remote sensing > vol 80 (June 2013) . - pp 72 - 79[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013061 RAB Revue Centre de documentation En réserve L003 Disponible