Title :
3-D soil reconstruction from binocular stereo disparity
Author :
Tebourbi, Riadh ; Belhadj, Ziad ; Zribi, Mehrez ; Boussema, Mohamed Rached
Author_Institution :
Lab. de Teledetection et Syst. d.Inf. a Reference Spatiale, ENIT, Tunis, Tunisia
Abstract :
Stereoscopic vision, which consists on the use of two images taken with two cameras from different angles for three-dimensional scenes reconstruction, can give useful information and can ameliorate the physical interpretations of the natural scenes such as terrain morphology, soil roughness, growth crops, etc. The authors propose the use of stereovision for calculating accurately three-dimensional soil surface and its statistical parameters by fractal interpolation
Keywords :
fractals; geophysical signal processing; geophysical techniques; rough surfaces; soil; stereo image processing; terrain mapping; binocular stereo disparity; fractal interpolation; geophysical measurement technique; land surface; reconstruction; remote sensing; rough surface; soil roughness; statistical parameters; stereo image processing; stereovision; terrain mapping; terrain morphology; three dimensional structure; three-dimensional scene; Cameras; Crops; Image reconstruction; Layout; Rough surfaces; Soil; Stereo image processing; Surface morphology; Surface reconstruction; Surface roughness;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.861723
