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The weight matrix determination of systematic bias calibration for a laser altimeter / Ma Yue in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 11 (November 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 11 (November 2016) . - pp 847 - 852 Titre : The weight matrix determination of systematic bias calibration for a laser altimeter Type de document : Article/Communication Auteurs : Ma Yue, Auteur ; Li Song, Auteur ; Lu Xiushan, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 847 - 852 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données ICEsat [Termes IGN] erreur de mesure [Termes IGN] étalonnage [Termes IGN] géolocalisation [Termes IGN] incertitude de mesurage [Termes IGN] matrice [Termes IGN] matrice d'erreur Résumé : (Auteur) The geolocation accuracy of satellite laser altimeters is significantly influenced by on-orbit misalignment and ranging biases. Few researchers have investigated the weight matrix determination method, which plays a critical role in bias estimation. In this article, a systematic misalignment and ranging bias model was deduced. Based on the least squares criterion, a bias calibration method was designed for use with solid natural surfaces; and the weight matrix was defined according to the ranging uncertainty theory. Referring to the Geoscience Laser Altimeter System (glas) parameters, the established model and method were verified using programming simulations, which indicated with a misalignment of tens of arc-seconds in the pitch and roll directions and a ranging bias of several centimeters, by using the weight matrix, the estimation accuracies of the misalignment and ranging bias increased by 0.22 and 2 cm, respectively. Consequently, the geolocation accuracy increased by approximately 0.64 m horizontally and 3 cm vertically for a 1° sloping surface. Numéro de notice : A2016-944 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.14358/PERS.82.11.847 En ligne : http://dx.doi.org/10.14358/PERS.82.11.847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83436 [article]

Quantifying early-seral forest composition with remote sensing / Rayma A Cooley in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 11 (November 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 11 (November 2016) . - pp 853 - 863 Titre : Quantifying early-seral forest composition with remote sensing Type de document : Article/Communication Auteurs : Rayma A Cooley, Auteur ; Peter T. Wolter, Auteur ; Brian R. Sturtevant, Auteur Année de publication : 2016 Article en page(s) : pp 853 - 863 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] données de terrain [Termes IGN] incendie de forêt [Termes IGN] Populus tremula [Termes IGN] prédiction [Termes IGN] surface terrière [Termes IGN] télédétection [Termes IGN] teneur en carbone [Termes IGN] tronc Résumé : (Auteur) Spatially explicit modeling of recovering forest structure within two years following wildfire disturbance has not been attempted, yet such knowledge is critical for determining successional pathways. We used remote sensing and field data, along with digital climate and terrain data, to model and map early-seral aspen structure and vegetation species richness following wildfire. Richness was the strongest model (rmse = 2.47 species, Adj. R2 = 0.60), followed by aspen stem diameter, basal area (ba), height, density, and percent cover (Adj. R2 range = 0.22 to 0.53). Effects of pre-fire aspen ba and fire severity on post-fire aspen structure and richness were analyzed. Post-fire recovery attributes were not significantly related to fire severity, while all but percent cover and richness were sensitive to pre-fire aspen ba (Adj. R2 range = 0.12 to 0.33, p Numéro de notice : A2016-945 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.11.853 En ligne : http://dx.doi.org/10.14358/PERS.82.11.853 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83437 [article]

Geometric calibration of Ziyuan-3 three-line cameras using ground control lines / Jinshan Cao in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 11 (November 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 11 (November 2016) . - pp 893 - 902 Titre : Geometric calibration of Ziyuan-3 three-line cameras using ground control lines Type de document : Article/Communication Auteurs : Jinshan Cao, Auteur ; Xiuxiao Yuan, Auteur ; Yi Fang, Auteur ; Jianya Gong, Auteur Année de publication : 2016 Article en page(s) : pp 893 - 902 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] coplanarité [Termes IGN] données de terrain [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] étalonnage géométrique [Termes IGN] géoréférencement [Termes IGN] image ZiYuan-3 Résumé : (Auteur) Owing to the large biases of laboratory-calibrated imaging parameters, the initial direct georeferencing accuracy of Ziyuan-3 (zy-3) three-line camera (tlc) images can only reach the kilometer level. In this paper, a line-based geometric calibration model is established by using the line-coplanarity constraint, and a feasible geometric calibration approach for the zy-3 tlcs using ground control lines (gcls) is presented. Experimental results show that the calibration accuracy achieved by using gcls reached about 1.0 pixel, which was almost the same as that achieved by using ground control points (gcps). After substituting gcls for gcps in the geometric calibration, the georeferencing accuracy of the zy-3 tlc images without ground controls was significantly improved from the kilometer level to better than 11 m in planimetry and 8 m in height. A better georeferencing accuracy of about 3.0 m in planimetry and 2.5 m in height was achieved after the block adjustment with four gcps. Numéro de notice : A2016-946 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.11.893 En ligne : http://dx.doi.org/10.14358/PERS.82.11.893 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83440 [article]