HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation

High-Resolution Multispectral Dataset for Semantic Segmentation

Unmanned aircraft have decreased the cost required to collect remote sensing imagery, which has enabled researchers to collect high-spatial resolution data from multiple sensor modalities more frequently and easily. The increase in data will push the need for semantic segmentation frameworks that are able to classify non-RGB imagery, but this type of algorithmic development requires an increase...

Multi Resolution Fuzzy Segmentation of Satellite Images

An Adaptive Target Detection Method in High-Resolution SAR Images

1 Yang Li, 2 Jianjiang Lu, 3 Jiabao Wang, Lei Bao, Wei Li 1, Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China, E-mail: [email protected] *2, Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China, E-mail: [email protected] 3,4,5, Institute of Command Automation, PLA University of Science and Technology, Na...

A Decision Mixture Model-Based Method for Inshore Ship Detection Using High-Resolution Remote Sensing Images

With the rapid development of optical remote sensing satellites, ship detection and identification based on large-scale remote sensing images has become a significant maritime research topic. Compared with traditional ocean-going vessel detection, inshore ship detection has received increasing attention in harbor dynamic surveillance and maritime management. However, because the harbor environm...

High Resolution Sensing and Anisotropic Segmentation for SAR Imagery

The purpose of this note is to introduce new methodologies for high resolution image processing and knowledge-based segmentation for SAR imagery. These techniques could also have a major impact on problems in radar and remote sensing where modern mathematical tools and optimization techniques are likely to advance significantly the current state of the art.