Min ZHANG

Change-Detection-Review. A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

FDCNN. The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

CDMI-Net. The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping

chip_segmentation_fabric. Urban change model designed to identify changes across 2 timestamps

PdRSCD. 基于『飞桨』的遥感变化检测工具（Remote sensing change detection tool based on『PaddlePaddle』）

Bi-SRNet. Python

Awesome-pytorch-list. A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

SiamCRNN. Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

Awesome-explainable-AI. A collection of research materials on explainable AI/ML

satellite-image-deep-learning. Resources for deep learning with satellite & aerial imagery

Land-Cover-Analysis. Land Cover Change Detection using Satellite Image Segmentation.

LamboiseNet. Master thesis about change detection in satellite imagery using Deep Learning

awesome-gis. 😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.