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yeyuanxin110 / SFOC-Multimodal_Remote_Sensing_Image_Registration_System

#Such as ENVI, ERDAS and PIE, we develop a multimodal remote sensing image registration system, which can fast and robust realize multimodal remote sensing image matching and registration, but the image must have GeoInformation or RPC File.

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#This is the software package of our papers:

#Ye, Yuanxin, Bai Zhu, Tengfeng Tang, Chao Yang, Qizhi Xu, and Guo Zhang. "A robust multimodal remote sensing image registration method and system using steerable filters with first-and second-order gradients." ISPRS Journal of Photogrammetry and Remote Sensing 188 (2022): 331-350.

#Please cite our paper if you use our code for your research. #This program is provided for research purposes only. Any commercial use is prohibited. If you are interested in a commercial use, please contact the copyright holder.

SFOC-Multimodal_Remote_Sensing_Image_Registration_System

#Such as ENVI, ERDAS and PCI, we develop a multimodal remote sensing image registration system, which can fast and robust realize multimodal remote sensing image matching and registration, but the image must have GeoInformation or RPC File.

#For more detailed usage instructions and related test data, please refer to the PDF file (1-SFOC-The_Instructions_of_Registration_System_for_Use.pdf) in the compressed package.

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#Such as ENVI, ERDAS and PIE, we develop a multimodal remote sensing image registration system, which can fast and robust realize multimodal remote sensing image matching and registration, but the image must have GeoInformation or RPC File.