An advanced change detection method based on object-oriented classification of multi-band remote sensing image

An advanced change detection method based on object-oriented classification of multi-band remote sensing data is proposed in this paper. In the first step, a further classification image is obtained based on the processed segment image and the preliminary classified image. Then the change threshold...

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Vydáno v:2010 18th International Conference on Geoinformatics s. 1 - 6
Hlavní autoři: Lifei Wei, Pingxiang Li, Liangpei Zhang, Yanfei Zhong
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2010
Témata:
Accuracy
adaptive threshold
change detection
Change detection algorithms
Classification algorithms
fusion image
Heuristic algorithms
Image segmentation
object-oriented classification
Pixel
Remote sensing
watershed transformation algorithm
ISBN:1424473012, 9781424473014
ISSN:2161-024X
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Shrnutí:An advanced change detection method based on object-oriented classification of multi-band remote sensing data is proposed in this paper. In the first step, a further classification image is obtained based on the processed segment image and the preliminary classified image. Then the change threshold is achieved by an improved adaptive recursive algorithm based on the fusion image. Finally, the change region and change category are obtained by multi-band integration change mask method. The experiments showed that this method is effective, it can improve the accuracy of change detection and determine type of change, and can be used as a robust tool for territorial resources survey.
ISBN:1424473012
9781424473014
ISSN:2161-024X
DOI:10.1109/GEOINFORMATICS.2010.5567517