Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.

Classification of land based on land cover data.

Optimizing Deep Learning Models for Classifying Urban Land Cover.

Implementation for "Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation"