Stars
a simple framework with self-supervised learning models
MODIS_Radiometric_Geometric_Correction_CloudMask Batch Processing.
Visualization toolkit for neural networks in PyTorch! Demo -->
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
A PyTorch Implementation of Focal Loss.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
This tool allows the identification and tracking of marine vessels by geolocation, MMSI, or via MarineTraffic URLs. It ensures user privacy via proxy support, and includes fallback strategies for o…
Pytorch implementation of the Double-Step Framework to perform wildfires severity estimation from Sentinel-2 satellite images
Detection of burned areas using deep learning from satellite images
A simple PyTorch implementation of digit recognition from NMIST database
3 hidden layers have been used to increase accuracy in predicitng the MNIST dataset, over 98% accuracy was achieved after 15 epochs
Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvolt…
Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.
基于U-Net检测卫星图像上的新增建筑
Learn OpenCV : C++ and Python Examples
Create digital elevation maps for InSAR processing
based on the version of "https://github.com/dreamoffeature/mopso", which has too many mistakes, I rewrite the MOPSO algorithm
fsspec-compatible Azure Datake and Azure Blob Storage access
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors