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Title: GitHub - pubTools/RemoteSensingandComputerVision: This contains personal reading list for remote sensing and applications of computer vision

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Remote Sensinghttps://github.com/pubTools/RemoteSensingandComputerVision#remotesensing
https://github.com/pubTools/RemoteSensingandComputerVision#3-remote-sensing
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https://github.com/pubTools/RemoteSensingandComputerVision#4-computer-vision
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https://github.com/pubTools/RemoteSensingandComputerVision#41-machine-learning-basics
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https://github.com/pubTools/RemoteSensingandComputerVision#44-mldl-for-rainfall-estimation
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https://github.com/pubTools/RemoteSensingandComputerVision#45-generative-adversaril-network
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https://github.com/pubTools/RemoteSensingandComputerVision#5-numerical-models
Optical Flowhttps://github.com/pubTools/RemoteSensingandComputerVision#opticalflow
https://github.com/pubTools/RemoteSensingandComputerVision#51-optical-flow
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https://github.com/pubTools/RemoteSensingandComputerVision#52-semi-lagrangian-scheme
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Atmospheric Sciencehttp://cup.aos.wisc.edu/453/2016/readings/Atmospheric_Science-Wallace_Hobbs.pdf
Python Gallery for meterologyhttp://https://github.com/chrimerss/python-gallery
A Review of Global Precipitation Datasets: Data Sources, Estimation, and Intercomparisonshttps://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1002/2017RG000574
https://github.com/pubTools/RemoteSensingandComputerVision#remote-sensing
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23 Unsolved problems in hydrology UPH a community perspectivehttps://www.tandfonline.com/doi/pdf/10.1080/02626667.2019.1620507?needAccess=true
https://github.com/pubTools/RemoteSensingandComputerVision#computer-vision
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神经网络与深度学习https://github.com/nndl/nndl.github.io
Standford CS231: Convolutional Neural Networks for Visual Recognitionhttp://vision.stanford.edu/teaching/cs231n/
Learning kernels for CVhttps://cvml.ist.ac.at/papers/lampert-fnt2009.pdf
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https://github.com/pubTools/RemoteSensingandComputerVision#object-detectiontracking-generalized
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Generating Videos with Scene Dynamics/GANhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/Generating_Videos_with_Scene_Dynamics.pdf
A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamicshttps://arxiv.org/pdf/1811.07490.pdf
Deep Learning for Precipitation Nowcasting: A benchmark and A new modelhttps://arxiv.org/pdf/1706.03458.pdf
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Serieshttps://arxiv.org/pdf/1811.10166.pdf
noteshttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/RainRemoval/rain_removal_notes.pdf
https://github.com/pubTools/RemoteSensingandComputerVision#mldl-for-rainfall-estimation-notes
Video Rain Streak Removal By Multiscale ConvolutionalSparse Codinghttps://github.com/MinghanLi/MS-CSC-Rain-Streak-Removal
Is it Raining Outside?Detection of Rainfall using General-Purpose Surveillance Camerashttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/RainRemoval/Haurum_Is_it_Raining_Outside__Detection_of_Rainfall_using_General_Purpose
codehttps://bitbucket.org/aauvap/aau-virada/src/master/
JORDEN: Deep Joint Rain Detection from a Single Imagehttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/RainRemoval/Deep_Joint_Rain_Detection_and_Removal_from_a_Single_Image.pdf.pdf
Rain Streaks Detection and Removal in Image based on Entropy Maximization and Background Estimationhttps://pdfs.semanticscholar.org/2975/6fb5238c69cea5d544df6227fa79ef6aa2cb.pdf
Spatial Attentive Single-Image Deraining with a High Quality Real Rain datasethttps://github.com/stevewongv/SPANet
Dynamic Routing Residue Recurrent Network for Video Removalhttp://www.icst.pku.edu.cn/struct/Pub%20Files/2019/ywh_tip19.pdf
Progressive Image Deraining Networks: A Better and Simpler Baselinehttps://github.com/csdwren/PReNet
noteshttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/MachineLearning/texnote/GAN.pdf
https://github.com/pubTools/RemoteSensingandComputerVision#generative-adversaril-networkgan-notes
Pytorch-GAN-zoohttps://github.com/facebookresearch/pytorch_GAN_zoo
InfoGANhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/InfoGAN.pdf
tempoGANhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/tempoGAN.pdf
WGANhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/WGAN.pdf
WGAN-improvedhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/ComputerVision/WGAN-improved.pdf
githubhttps://github.com/jalola/improved-wgan-pytorch
DehazeGANhttps://arxiv.org/abs/1810.09479
codehttps://github.com/thatbrguy/Dehaze-GAN
Glowhttps://arxiv.org/pdf/1807.03039.pdf
Bloghttps://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html
githubhttps://github.com/openai/glow
https://github.com/pubTools/RemoteSensingandComputerVision#numerical-methods
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Optical flow models as an open benchmark for radar-based precipitation nowcastinghttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/NumericalMethods/OpticalFlow/Optical_flow_mdoels_as_an_open_benchmark_for_radar-based_precipitation_nowcasting.pdf
optical flowhttps://github.com/hydrogo/rainymotion
Novel Video Prediction for Large-scale Scene using Optical Flowhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/NumericalMethods/OpticalFlow/new_video_predction_for_large_scale_scene_using_optical_flow.pdf
Two Frame Motion Estimation Based on Polynomial Expansionhttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/NumericalMethods/OpticalFlow/Two_Frame_Motion_Estimation_Based_on_Polynomial_Expansion.pdf
my radar project demohttps://github.com/chrimerss/RadarEnhancement
FlowNet: Learning Optical Flow with Convolutional Networkshttps://github.com/chrimerss/RemoteSensingandComputerVision/blob/master/NumericalMethods/OpticalFlow/Learning_Optical_Flow_with_DL(FlowNet).pdf
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