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Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

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SUNet-change_detection

Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

Abstract:

Requirements:

python 3.6
pytorch 0.4.1
torchvision 0.2.1

Dataset

download HTCD dataset link:https://pan.baidu.com/s/1cwlbQo5fAmlKkU1eMcGHww keyword:n854

Quick start

Make Edge Auxiliary Infromation

python detect_edge.py

train

python train.py

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Implementation of paper SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network

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