1. Change Detection Using Change Vector Analysis from Landsat TM Images in Wuhan
- Author
-
Song Xiaolu and Cheng Bo
- Subjects
business.industry ,Computer science ,Change vector analysis ,Threshold search ,Dichotomy ,Direction cosine ,General Earth and Planetary Sciences ,Change detection ,Direction cosine vector space ,Point (geometry) ,Computer vision ,Artificial intelligence ,business ,General Environmental Science - Abstract
Spectral Change Vector Analysis (CVA) is based on multi-temporal images. In this paper, a dichotomy search which can be used on detecting changes in the threshold vector is adopted. Meanwhile, a supervised classification technique is used in the direction cosine space with the type of central point in the initial assay vector remote sensing images. Results are discussed in the last part of this paper, which show that CVA can extract change information effectively in our study area of Wuhan city.
- Published
- 2011
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