
Synthetic Aperture Radar (SAR) | NASA Earthdata
What is Synthetic Aperture Radar? Synthetic aperture radar (SAR) is a type of active data collection where an instrument sends out a pulse of energy and then records the amount of that energy reflected back after it interacts with Earth.
【多源数据融合】融合光学和SAR影像用于土地利用分类的语义分 …
本文提出了一种利用光学和SAR影像进行土地利用分类的语义分割算法(MCANet),并发布了一个包含成对光学和SAR影像的地物分类数据集(WHU-OPT-SAR)。 代码地址: 1. WHU-OPT-SAR数据集. 光学和SAR数据在土地利用分类方面具有互补性,对二者进行优势融合以获得更好的提取效果是遥感领域的一个研究热点,但这个方向的算法研发常常受制于数据集稀缺。 因此本文开源了一个大型地物分类数据集,包含成对的光学和SAR影像,数据集命名为WHU-OPT …
ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land ...
Synthetic Aperture Radar (SAR) images have proven to be a valuable cue for multimodal Land Cover Classification (LCC) when combined with RGB images. Most existing studies on cross-modal fusion assume that consistent feature information is necessary between the two modalities, and as a result, they construct networks without adequately ...
presents the Land SAR Addendum to all Federal SAR responders as foundational guidance for lifesaving operations. Search theory, best practices shared, and lessons learned from previous SAR missions will
Saarland - Wikipedia
Saarland (German: [ˈzaːʁ̞lant] ⓘ, Luxembourgish: [ˈzaːlɑnt]; French: Sarre [saʁ]) is a state of Germany in the southwest of the country.
Land SAR - United States Coast Guard
This Land SAR Addendum was created by the National Search and Rescue Committee (NSARC) to provide standardized guidance and information on the search and rescue (SAR) of persons, vehicles, and missing aircraft operations.
机载多维度SAR图像地物数据集构建及融合分类方法
Airborne multidimensional SAR land cover dataset and fusion classification method “ 在遥感领域,专家构建了高分辨率多维度SAR地物分类数据集AIR-MDSAR-Map,验证了深度学习算法在地物分类中的应用,为多维度SAR数据应用研究提供支撑。
MCANet: A joint semantic segmentation framework of optical and SAR ...
2022年2月1日 · In this study, we developed the first and largest joint optical and SAR land use classification dataset, WHU-OPT-SAR, covering an area of approximately 50,000 km 2, and designed a multimodal-cross attention network (MCANet).
SAR Image Land Cover Datasets for Classification Benchmarking …
2018年2月27日 · Abstract: The increased availability of high-resolution synthetic aperture radar (SAR) satellite images has led to new civil applications of these data. Among them is the systematic classification of land cover types based on the patterns of settlements or agriculture recorded by SAR imagers, in particular the identification and quantification ...
MCANet: A joint semantic segmentation framework of optical and SAR …
2025年2月19日 · 光学与合成孔径雷达(sar)影像融合的土地利用分类具有广阔的应用前景,但相关研究较少。在本研究中,我们开发了第一个也是最大的联合光学和 sar 土地利用分类数据集 whu-opt-sar,覆盖面积约为 50,000 km2,并设计了一个多模态交叉注意力网络 (mcanet)。
- 某些结果已被删除