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Change Detection Method of High Resolution Remote Sensing Image Based on D-S Evidence Theory Feature Fusion
- Source :
- IEEE Access, Vol 9, Pp 4673-4687 (2021)
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Using high-resolution satellite image to detect change has been a hotspot in the field of remote sensing for a long time series. The change detection method combining feature extraction and machine learning could extract the change information effectively, but the manual sample selection is a huge workload for a wide range remote sensing images, and it is also difficult to ensure the accuracy of the pre-detection sample using a single difference image. Therefore, in this paper, a new method for change detection has been put forward based on multi-feature fusion of D-S evidence theory. In this approach, the texture difference image has calculated by structural similarity, because the difference image based on structural similarity plays a great role in change detection, which was verified in experiments. The difference images based on texture features and traditional spectral features are fused by D-S evidence theory, and texture features and spectral features have been fully utilized. Setting rules to select samples with high confidence based on pixels, and SLIC super-pixel segmentation has applied in order to improve further the credibility of the sample. Finally, the samples selected by SLIC segmentation optimization are sent to the classifier training to obtain the final result. The experimental results show that texture features play a very important role in the change detection of high-resolution remote sensing images, and D-S evidence theory could effectively fuse spectral texture features to improve the accuracy of change detection. The proposed method has high accuracy and good performance in change detection.
- Subjects :
- 010504 meteorology & atmospheric sciences
General Computer Science
Computer science
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
structural similarity (SSIM)
remote sensing
General Materials Science
Segmentation
high-resolution satellite image
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Pixel
General Engineering
Image segmentation
Sample (graphics)
TK1-9971
Support vector machine
D-S evidence theory
Change detection
multi feature fusion
Electrical engineering. Electronics. Nuclear engineering
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....e5e231352258ec41801940d5bdc42b93