Cloud Removal from Satellite Images

12/23/2021

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In this report, we have analyzed available cloud detection technique using sentinel hub. We have also implemented spatial attention generative adversarial network and improved quality of generated image compared to previous solution [7].

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Cloud Removal from Satellite Images

Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network

Typhoon track prediction using satellite images in a Generative Adversarial Network

Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix

Guided Unfoldings for Finding Loops in Standard Term Rewriting

Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images

Cloud Removal from Satellite Images

Related Research

Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network

Typhoon track prediction using satellite images in a Generative Adversarial Network

Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix

Guided Unfoldings for Finding Loops in Standard Term Rewriting

Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images