DocumentCode :
2247684
Title :
An object-based change detection approach by integrating intensity and texture differences
Author :
Huang, Lingcao ; Zhang, Guo ; Li, Yang
Author_Institution :
Sch. of Remote Sensing Inf. Eng., Wuhan Univ., Wuhan, China
Volume :
3
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
258
Lastpage :
261
Abstract :
With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames is studied. An object-based change detection method based on this technique is proposed. Experimental results show that the integrated measure is robust with respect to the illumination changes and noise, the performance of which is outstanding especially when applied to object-based change detection because of pixels´ consistency in an object and sharp contrast between objects.
Keywords :
image texture; object detection; intensity difference; object-based change detection; pixel-based change detection; remote sensing images; texture difference; Algorithm design and analysis; Change detection algorithms; Detection algorithms; Earth; Humans; Image analysis; Object detection; Pixel; Remote sensing; Robotics and automation; Change Detection; Mean Shift; Object-based; Pixel-based; Texture Differences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456680
Filename :
5456680
Link To Document :
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