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A change detection method for vector map and remote sensing imagery based on object heterogeneity |
Liang LI1( ), Lei WANG1, Kai WANG2, Sheng LI1 |
1. The Third Academy of Engineering of Surveying and Mapping, Chengdu 610500, China 2. Planning and Research Institute of Resettlement, Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China |
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Abstract In order to realize the automatic change detection with vector map and remote sensing imagery, a change detection method based on the object heterogeneity for vector map and remote sensing imagery is proposed in the paper. Image segmentation under the constraint of vector map was employed to get image objects using marker-based watershed algorithm. The features of the object were extracted by histogram which describes both gray feature and texture feature. The histogram intersection distance was adopted to measure the feature distance. The object heterogeneity was built by the average of the distance between the object and the other objects with the same class in old period. Change/nochange label of the objects can be determined by comparison the object heterogeneity with the heterogeneity threshold of the class which was calculated by Maximum Entropy Principle automatically. Experiments on QuickBird remote sensing images verified the effectiveness of the proposed method ,and the correct rate of the change detection is up to 95%.
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Keywords
object
object heterogeneity
image segmentation
histogram intersection distance
maximum entropy
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Issue Date: 08 February 2018
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