基于主被动遥感波段耦合颜色特征的海水养殖识别方法
By combining data from active and passive remote sensing bands and utilizing CIE color space transformation to fuse structural and spectral features, high-precision identification of marine aquaculture areas was achieved, solving the problem of low detection accuracy in existing technologies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUN YAT SEN UNIV
- Filing Date
- 2026-04-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to quickly and accurately identify marine aquaculture areas, especially when optical features differ only slightly from the background seawater, resulting in low detection accuracy.
By combining data from active and passive remote sensing bands, structural feature information is extracted from radar remote sensing data and spectral feature information is extracted from optical remote sensing data. These features are then mapped onto the CIE color space to form CIE color index features, which are used for classification and prediction of marine aquaculture areas.
It improves the monitoring accuracy of marine aquaculture areas, enhances the difference between marine aquaculture areas and the water background, and reduces the impact of single-dimensional interference signals.
Smart Images
Figure CN121999372B_ABST