This code is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network". in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 11, pp. 4517-4529, Nov. 2019.
If you have any questions, please contact us. Email: gaoyunhao128@163.com gaofeng@ouc.edu.cn
Before running this code, you should correctly install ubuntu system and CAFFE framework. Refer to this guildeline "http://caffe.berkeleyvision.org/installation.html" After correctly installing ubuntu and caffe, you can run this code by the following procedures.
(1) The farmland dataset (LMDB format) is prepared on "https://share.weiyun.com/5M2gyVd".
(2) Opening the terminal and running this script to execute the training of DCNet: "sh train.sh"
Then, training model named “***.caffemodel” can be obtained.
(3) Running the following script to executes the testing of DCNet and record testing logs: "sh test.sh".
(4) Final change map can be calculated by "Calculating_result.m".