Back to Search
Start Over
Adaptive Change Detection With Significance Test
- Source :
- IEEE Access, Vol 6, Pp 27442-27450 (2018)
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- In this paper, we propose a significance test-based change detection method that can automatically discriminate between changed and unchanged pixels in the difference image. The method adaptively considers the local contextual information, which is contained in the neighborhoods of each pixel, to derive the decision threshold. In our method, a significance test algorithm based on maximuming a posteriori estimate is constructed; then, a weight to each pixel in the block is imposed to increase the change detection accuracy. In our proposed method, the distribution of the difference image satisfying Laplace model also leads to good precision. For the experimental component, two types of images were tested. And experimental results proved the effectiveness of the significance test method when compared with four state-of-the-art change detection methods.
- Subjects :
- General Computer Science
Computer science
0211 other engineering and technologies
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Image (mathematics)
remote sensing
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
Electrical and Electronic Engineering
threshold selection
021101 geological & geomatics engineering
Block (data storage)
Laplace transform
Pixel
business.industry
General Engineering
Pattern recognition
Significance test
adaptive change detection
Distribution (mathematics)
Principal component analysis
020201 artificial intelligence & image processing
Artificial intelligence
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Change detection
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....d028b072af31996481b18e56683c59a2