Change detection in SAR image based on weighted difference image generation and optimized random forest
Mengting Yuan,
Zhihui Xin,
Guisheng Liao
et al.
Abstract:Synthetic aperture radar (SAR) image change detection suffers from poor quality of the difference image and low detection accuracy. Hence, this paper proposes a SAR image change detection method based on a fused difference image and an optimized random forest scheme, termed LRN‐SSARF. Specifically, a fusion operator difference image LRN is proposed, which is generated using a weighted fusion of log‐ratio (LR), ratio (R), and normalized ratio (NoR). This difference image generation method reduces noise's influe… Show more
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