An Evolutionary Shadow Correction Network and a Benchmark UAV Dataset for Remote Sensing Images-Reference-Cited by-同舟云学术

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An Evolutionary Shadow Correction Network and a Benchmark UAV Dataset for Remote Sensing Images

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Luo Shuang¹^ORCID,Li Huifang²^ORCID,Li Yiqiu¹,Shao Chenglin¹,Shen Huanfeng²^ORCID,Zhang Liangpei³^ORCID

Affiliation:

1. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

2. School of Resource and Environmental Sciences and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10184103.pdf?arnumber=10184103

Reference52 articles.

1. Near real-time shadow detection and removal in aerial motion imagery application

2. A new shadow detection index for 8-band very high-resolution satellite images

3. Shadow detection in very high-resolution satellite images by extended random walker

4. A comparative study on shadow compensation of color aerial images in invariant color models

5. RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

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1. From Synthesis to Removal: A Deep Learning-Based Framework for Shadow Removal in High-Resolution Remote Sensing Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Recreating Brightness From Remote Sensing Shadow Appearance;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Neural Implicit Fourier Transform for Remote Sensing Shadow Removal;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Analysis of Shadow Interference on Chromatic Information in Unmanned Aerial Vehicle Optical Imagery;2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS);2023-12-10

5. Locally and Structurally Private Graph Neural Networks;Digital Threats: Research and Practice;2023-09-16

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