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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）

batch-modify-the-image-names-under-multiple-folders

benchmark-on-so2satlcz42-dataset-a-simple-tour

cbam-keras

CBAM implementation on Keras

cbam-tensorflow-slim

CBAM implementation on TensorFlow Slim

cedgan-interpolation

Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks

change-detection-in-satellite-imagery

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

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.

cs231n_course_homework

cs231n_course_homework code

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

deep-learning

deepdownscaling

Deep learning approaches for statistical downscaling in climate

dl-multispectral

Deep learning for multispectral imaging

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-satellitelst

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

downscale-sst

Downscaling Oceanographic Satellite Data with Convolutional Neural Networks

downscaling-rnn-gan

Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields

downscaling-smap

Downscaling soil moisture estimates from NASA's SMAP mission 9km product

earthengine

Change Detection with Google Earth Engine Imagery

echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser

fcn.berkeleyvision.org

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

gdal_remote-sensing

hyperspctral_classification

Hyperspectral remote sensing image classification based on deep learning

hyperspectral-deeplearning-tool

Modified tool from https://gitlab.inria.fr/naudeber/DeepHyperX for performing deep learning experiments