Title :
Materials´ BRDF retrieval from multiview digital aerial images
Author_Institution :
Lab. Matis, Inst. Geogr. Nat., Paris, France
Abstract :
Our study aims at automatically identifying urban material characteristics from images acquired with an airborne digital frame camera during standard aerial missions. An object is usually seen in several images under different lighting and viewing directions. This means that reflection properties of materials can be used to differentiate between two materials. In this article, we show how this can be achieved. Results are encouraging, even though further investigation is still required.
Keywords :
geophysical techniques; image retrieval; radiometry; terrain mapping; Amiens; BRDF retrieval; France; airborne digital frame camera; bidirectional reflectance distribution function; lighting; multiview digital aerial images; reflection properties; standard aerial missions; urban material; viewing directions; Atmospheric measurements; Atmospheric modeling; Digital cameras; Image resolution; Image retrieval; Lighting; Optical devices; Optical materials; Radiometry; Sun;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1295291