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birl

BIRL: Benchmark on Image Registration methods with Landmark validations

bit_cd

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

blindness-detection

The dataset I have worked on is a part of an online Kaggle competition- APTOS 2019 Blindness Detection. The goal of this competition is to detect blindness before it happens, organized by APTOS, data taken from Aravind Eye Hospitals here, in my home country India. In this synchronous Kernels-only competition, you’ll build a machine learning model to speed up disease detection. You’ll work with thousands of images collected in rural areas to help identify diabetic retinopathy automatically. If successful, you will not only help to prevent lifelong blindness, but these models may be used to detect other sorts of diseases in the future, like glaucoma and macular degeneration.This blog post is meant to provide a good starting point and insights for those who use PyTorch for training and fine-tuning your models.

bruno

a deep recurrent model for exchangeable data

building-area-extraction

A partial Implementation of paper by, Chu He, Bo Shi, "The algorithm of building area extraction based on boundary prior and conditional random field for SAR image"

building-extraction

building_extraction

buildingchangedetector

基于U-Net检测卫星图像上的新增建筑

buildingdetection

Detect buildings by a combination of different filters and clusterin (kmean, sobel, morphological filters)

buildingextraction

graduation design project

buildingextractiontoolbox

Building Extraction Toolbox

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-1

modified version of caffe which support DeconvNet and DecoupledNet

caffe_plantvillage

Training AlexNet on PlantVillage dataset

caffebvlcplus

caffefa

caffeqinxiao

cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

cbdnet-tensorflow

An unofficial implementation of CBDNet by Tensorflow.

cbp

Multimodal Compact Bilinear Pooling for Torch7

ccdc

Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

ccfs

Canonical Correlation Forests

cd_pcanet

The matlab code for the GRSL16 paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet"

cg-net

Learning Calibrated-Guidance for Object Detection in Aerial Images

cgeo

Convenience functions for remote sensing & geospatial processing in Python

cglops-change-detection

Enhancements to the CGLOPS workflow via land cover change detection

chainer-fcis

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation

change-detection

Web App for automated change detection in multi temporal satellite images for natural hazard classification.

change-detection-and-semantic-segmentation

Generating segmentation masks on past and present images to detect temporal change in Vaihingen dataset

change-detection-dataset-for-high-resolution-satellite-imagery

This repository is for releasing a dataset for high-resolution satellite imagery