Code is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network".

If you have any questions, please contact us. Email: [email protected] [email protected]

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".