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Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ / Bushra Zaman in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 12 (December 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 12 (December 2014) . - pp 1139 - 1150 Titre : Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle: AggieAir™ Type de document : Article/Communication Auteurs : Bushra Zaman, Auteur ; Austin Jensen, Auteur ; Shannon R. Clemens, Auteur ; Mac McKee, Auteur Année de publication : 2014 Article en page(s) : pp 1139 - 1150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] bande infrarouge [Termes IGN] drone [Termes IGN] éclairement énergétique [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image à haute résolution [Termes IGN] image multibande [Termes IGN] orthophotoplan numérique [Termes IGN] prise de vue aérienne [Termes IGN] radiance [Termes IGN] réflectance spectrale [Termes IGN] Utah (Etas-Unis) Résumé : (auteur) This research presents a new semi-automatic model for converting raw AggieAir™ footprints in visible and near-infrared (Nin) bands into reflectance images. AggieAir, a new unmanned aerial vehicle (UAV) platform, is flown autonomously using pre-programmed flight plans at low altitudes to limit atmospheric effects. The UAV acquires high-resolution, multispectral images and has a flight duration of about 30 minutes. The sensors on board are twin cameras with duplicate settings and automatic mode disabled. A white Barium Sulfate (BaSO4j panel is used for reflectance calibration and in situ irradiance measurements. The spatial resolution of the imagery is 25 cm; the radiometric resolution is 8-bit. The raw images are mosaicked and orthorectified and the model converts their digital numbers (DN) to reflectance values. Imagery, acquired around local solar noon over wetlands on the Great Salt Lake. Utah, is used to illustrate the results. The model generates high quality images and the results are good. The reflectance values of vegetation in the NIR, Green and Red hands extracted at the test locations are consistent. The image processing, reflectance calculations, accuracy issues, with the proposed method are discussed. Numéro de notice : A2014 670 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.12.1139 En ligne : https://doi.org/10.14358/PERS.80.12.1139 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75129 [article]