Remote Sensing
异构SAR-光学融合
Heterogeneous SAR–optical fusionA methodological framework that integrates Synthetic Aperture Radar (SAR) and optical imagery to generate land use and land cover (LULC) maps. This approach addresses the limitations of single-source data, such as cloud contamination in optical images and the inability of SAR to distinguish between certain surface materials, by fusing data from heterogeneous sensors. / 一种将合成孔径雷达（SAR）与光学影像融合以生成土地利用与覆盖（LULC）图的方法框架。该方法解决了单一源数据的局限性，例如光学影像的云层污染和SAR无法区分某些地表材料的缺陷，通过融合异构传感器的数据来实现。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-29 22:06:15
Sub-knowledge points
Near-real-time mappingCloud contamination handlingGlobal benchmark dataset generation
Higher-order knowledge points
Land use and land cover mappingRemote sensing data fusion
Main parameters and performance indicators
SAR: Synthetic Aperture Radar dataOptical: Optical imagery dataFusion: Integration strategy for heterogeneous data
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsHeterogeneous SAR–optical fusion for near-real-time land use and land cover mapping under cloud contamination: A novel framework and global benchmark datasetOpen source
Related products and links
Global benchmark dataset
Creation and modification trail
1 recordsRecord title: Heterogeneous SAR–optical fusion.
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