% % MLHDN: Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples DEMO. % Version: 1.0 % Date : May 2021 % % This demo shows the MLHDN model for Multiview SAR Target Recognition. % % samples.py ....... A script generating training and test meta-file before executing following experiments (RUN 1st) % main.py ....... A main script executing classification and analysis experiments . % tool.py ....... A script implementing various data manipulation functions. % train_test_script.py ....... A script implementing the training function, the test function, and etc. % model.py ....... A script implementing the HDN (MLHDN 1-view) and MLHDN (MLHDN K-view) model. % mvsecondpooling.py ....... A script implementing the multiview second order pooling without flatten. % clrbp.py ....... A script implementing Low-Rank Bilinear Pooling (LRBP) and Composite Low-Rank Bilinear Pooling (CLRBP). % % /MSTAR-10 ............... The folder including MSTAR training and test images (total 10 classes). % /input ............... The folder storing generated meta-file applicable to execution. % % -------------------------------------- % Note: Required core python libraries are covered % -------------------------------------- % 1. python 3.6.5 % 2. tensorflow-gpu 1.14.0 % 3. tensorboard 1.14.0 % 4. Keras 2.2.5 % 5. opencv-python 4.4.0.46 % 6. numpy 1.19.4 % 7. scipy 1.5.4 % 8. scikit-learn 0.23.2 % -------------------------------------- % Cite: % -------------------------------------- % % [1] Z. Xue and M. Zhang, "Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples," in IEEE Access, vol. 8, pp. 227847-227856, 2020, doi: 10.1109/ACCESS.2020.3046274. % % -------------------------------------- % Copyright & Disclaimer % -------------------------------------- % % The programs contained in this package are granted free of charge for % research and education purposes only. % % Copyright (c) 2020 by Zhaohui Xue & Mengxue Zhang % zhaohui.xue@hhu.edu.cn & mengxue_zhang@hhu.edu.cn % -------------------------------------- % For full package: % -------------------------------------- % https://sites.google.com/site/zhaohuixuers/