DocumentCode :
2497271
Title :
Full-automatically image geometric rectification with high accuracy based on MODIS data
Author :
Wang, Yong-tao ; Liu, Liang-ming
Author_Institution :
Sch. of Inf. Eng. on Remote sensing, Wuhan Univ., China
Volume :
5
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2950
Abstract :
Before the remotely sensed imagery´s some application, calibration and geolocation are needed. In this paper, a full-automatic application for the geometric rectification of remotely sensed imagery based on MODIS (Moderate-resolution Imaging Spectroradiometer) data is described, which is one way to locate the image. In its procedure, many algorithms such as feature extraction, feature matching, polynomial correction and resample are included and integrated. And with this application, we can rectify the MODIS data imagery in real time with high precision and speed without manual supervisor; the output results by this application indicate that it has good practicability and credibility in some case.
Keywords :
computational geometry; feature extraction; image matching; image resolution; MODIS data imagery; automatically image geometric rectification; feature extraction; feature matching; full automatic application; moderate resolution imaging spectroradiometer; polynomial correction; remotely sensed imagery; Data engineering; Equations; Feature extraction; Geoscience; Image matching; Image resolution; Instruments; MODIS; Polynomials; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1260078
Filename :
1260078
Link To Document :
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