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Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination / Jean-Samuel Proulx-Bourque in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 701 - 707 Titre : Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination Type de document : Article/Communication Auteurs : Jean-Samuel Proulx-Bourque, Auteur ; Ramata Magagi, Auteur ; Norman T. O’Neill, Auteur Année de publication : 2015 Article en page(s) : pp 701 - 707 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] altimétrie satellitaire par radar [Termes IGN] altitude [Termes IGN] Canada [Termes IGN] données altimétriques [Termes IGN] données ICEsat [Termes IGN] filtrage numérique d'image Résumé : (auteur) This paper presents a filtering method for ICESat Global Land Surface Altimetry data (GLA14), which is based on indicators to detect potentially contaminated GLA14 elevation points. Potential contamination sources include attitude miscalculation, saturated echoes, equipment noise, the atmosphere, and variable elevation within footprints. For a study site located in Northern Canada, this multi-indicator filter provided a 19 percent reduction in the root mean square error for elevation, when compared to Canadian Digital Elevation Data (CDED). This result demonstrates the method’s ability to provide an improved dataset for vertical accuracy evaluation, with respect to unfiltered GLA14 data. The improvement was achieved with a rejection rate of 69 percent. However, due to the high density of the unfiltered GLA14 data over the study site, a spatially homogeneous distribution of elevation points was maintained, even after filtering. Results also showed the rejection efficiency of most indicators, as well as their complementarity. Numéro de notice : A2015-984 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.701 En ligne : https://doi.org/10.14358/PERS.81.9.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80265 [article]

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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 721 - 731 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 spectrale Résumé : (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 [article]

Accurate affine invariant image matching using oriented least square / Amin Sedaghat in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 733 - 793 Titre : Accurate affine invariant image matching using oriented least square Type de document : Article/Communication Auteurs : Amin Sedaghat, Auteur ; Hamid Ebadi, Auteur Année de publication : 2015 Article en page(s) : pp 733 - 793 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement automatique [Termes IGN] appariement d'images [Termes IGN] corrélation à l'aide de traits caractéristiques [Termes IGN] corrélation par moindres carrés [Termes IGN] détection de coins Harris [Termes IGN] extraction de traits caractéristiques [Termes IGN] MSER (algorithme) Résumé : (auteur) Image matching is a vital process for many photogrammetric and remote sensing applications such as image registration and aerial triangulation. In this paper, an accurate affine invariant image matching approach is presented. The proposed approach consists of three main steps. In the first step, two affine invariant feature detectors, including MSER and Harris-Affine features are applied for feature extraction. In the second step, initial corresponding features are selected using Euclidean distance between feature descriptors, followed by a consistency check process. Finally to overcome low positional accuracy of the local affine feature, an advanced version of the least square matching (LSM) namely, Oriented Least Square Matching (OLSM) is developed. Wellknown LSM method has been widely accepted as one of the most accurate methods to obtain high reliable corresponding points from a stereo image pair. However, it is sensitive to significant geometric distortion and requires very good initial approximation. In the proposed OLSM method, shape and size of the matching window are appropriately approximated using obtained affine shape information of the initial elliptical feature pairs. The proposed method was successfully applied for matching various synthetic and real close range and satellite images. Results demonstrate its accuracy and capability compared to standard LSM method Numéro de notice : A2015-986 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.733 En ligne : https://doi.org/10.14358/PERS.81.9.733 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80267 [article]