Wison Ji's repositories
cedgan-interpolation
Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks
LandSurfaceTemperature_Landsat8
Arcpy ArcGIS tool that estimates land surface temperature using Landsat 8 bands.
satellite-Image-Semantic-Segmentation-Unet-Tensorflow-keras
Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
Augmented-ConvLSTM
A statistical downscaling approach using ConvLSTMs.
Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
AwesomeNeurIPS
NeurIPS文章+代码（最新2021更新）
change_detection.pytorch
Deep learning models for change detection of remote sensing images
ChangeDetection
A framework for change detection using PyTorch
ChangeDetectionProject
Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.
ChangeDetectionRepository
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
DeepDownscaling
Deep learning approaches for statistical downscaling in climate
Does-the-GPU-have-an-impact-on-the-performance-of-deep-learning-approaches-
This Readme.md file focuses on the reasons why deep learning algorithms exhibit performance differences when faced with different GPU versions, and corresponding solutions.
downscale-sst
Downscaling Oceanographic Satellite Data with Convolutional Neural Networks
downscaling-rnn-gan
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Label-Pixels
Label-Pixels is a tool for semantic segmentation of remote sensing images using fully convolutional networks (FCNs), designed for extracting the road network from remote sensing imagery and it can be used in other applications applications to label every pixel in the image ( Semantic segmentation).
matplotx
:bar_chart: Extensions for Matplotlib
NHTSA-Sensitivity-Project
Framework to compute the sensitivities of various semantic segmentation algorithms over different image datasets with respect to the changes in Image Properties,
Python-100-Days
Python - 100天从新手到大师
Python-for-Remote-Sensing
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
rindcalc
A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
semi-auto-image-annotation-tool
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.