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VRCIS

Architecture Explanation http://zimingjun.top/index.php/2023/12/19/vrcis_v2-0-framework/ Facing the urgent need for multi-source remote sensing data processing, focusing on the key issues of Synthetic Aperture Radar (SAR) data and collaborative processing of multi-source remote sensing data, researching key technologies for feature extraction and application of constellation SAR satellite data, as well as the expansion of SAR and optical data fusion application technology services, And based on this, we will develop a Visual Radar Constellation Interpretation System (VRCIS) with independent intellectual property rights.

Research and develop key technologies for SAR satellite data processing and fusion of SAR and optical data based on the characteristics of SAR satellite constellation data. On this basis, integrate existing remote sensing data processing algorithms and develop a SAR satellite data fusion and collaborative processing software system with independent intellectual property rights for the Tianxian SAR constellation.

1. SAR constellation remote sensing data processing system

SAR data preprocessing technology

Research technology to achieve level 0 to L1 products for problems or needs.

The various geometric distortions caused by the imaging process of the Tianxian SAR constellation data are called geometric correction processing, and the radiation distortion or radiation distortion is calibrated according to the imaging sensor response function.

SAR data filtering and noise reduction technology

SAR data embedding technology

Rapid processing technology for massive SAR data

SAR data change detection technology

SAR data target recognition technology

2. SAR and optical multi-source remote sensing data fusion processing and collaborative perception system

SAR and optical data fusion technology

3. Disaster emergency monitoring system

4. Ecological environment monitoring system

5. sar to optical image

6.sam using in remote-sensing

7.Exclusive remote sensing segmentation based on regional and cluster levels

This project is developed and manufactured by the Aerospace Information Laboratory of Hefei University of Technology

Using language C++

Framework is QT

Used the relevant open-source library opencv gdal cuda sam onnx

If you are interested in this project or have any other questions

Please contact us

The main person in charge of the project is Tu Ziming, and the email is 1186716601@qq.com

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