Share Email Print

Proceedings Paper

Method for automatic information extraction of multiangular aerial data
Author(s): Jun Guo; Xiaowen Li; Chongguang Zhu
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The paper presents a method of automatic extraction of multiangular data from multiangular remotely sensed sequential images. In the procedure of extraction, the key problem is multiangular remote sensing registration. The non-linear resampling technology is used to correct systematic geometric distortion caused by wide-angle imaging. We present a method to extract enough ground control points (GCPs) for multiangular image matching. The extracted GCPs are distributed uniformly. One of the problems in multiangular image registration is brightness variation due to differences in viewing angle, bi directional reflectance variation and atmospheric scattering. An advanced weighted template matching method is presented to remove the differences and the best matching result has been achieved. For the images with local non-linear geometric distortion, surface-fitting function is used as mapping function to improve the registration accuracy. Multiangular data is from directional information of the same target in multi-images. We designed a schedule to register multiangular images sequentially by using interleaved-angular image. We use POLDER airborne simulated multiangular images, which were provided by CNES of France , Aerial data by IRSA, CAS. And have obtained differential angle registered data of targets. The experiment result shows that the method we presented has optional accuracy in practical use for multiangular data analysis.

Paper Details

Date Published: 17 August 1998
PDF: 6 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317800
Show Author Affiliations
Jun Guo, Institute of Remote Sensing Application (United States)
Xiaowen Li, Institute of Remote Sensing Application (United States)
Chongguang Zhu, Institute of Remote Sensing Application (China)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

© SPIE. Terms of Use
Back to Top