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a-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images

Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cdgan

遥感影像变化检测-研究生毕设内容《基于深度学习的地面新增建筑检测方法研究》

changestar

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

crop-classification

Crop classification of fields in South Africa using multispectral imagery

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

deepglobe_land_cover_classification_with_deeplabv3plus

DeepGlobe Land Cover Classification Challenge遥感影像语义分割

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

field-boundary-delineation

Code & trained network files of FCNs to delineate agricultural field boundaries

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

glcm-svm

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

high-resolution-remote-sensing-semantic-segmentation-pytorch

PyTorch实现高分遥感语义分割（地物分类）

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image_augmentor

Data augmentation tool for images

landcover_classification

Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰

peps_download

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

pyradar

CINRAD basic data read and process. Draw PPI, RHI, CAPPI, volume rendering and several 3D model of basic data.

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

retina-unet

Retina blood vessel segmentation with a convolutional neural network

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

robosat_buildings_training

手把手教你如何使用 mapbox/robosat 工具，基于深度学习训练，从常规的遥感影像瓦片地图服务中自动提取建筑物。

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

sentinel-1

sentinel1denoised

Thermal noise subtraction, scalloping correction, angular correction

stamps

Stanford Method for Persistent Scatterers

tensorflow-densenet

Tensorflow-DenseNet with ImageNet Pretrained Models