Shadow Detection for Remote Sensing Images-Reference-Cited by-同舟云学术

Shadow Detection for Remote Sensing Images

Published:2022-02-25 Issue: Volume: Page:
ISSN:
Container-title:2022 The 6th International Conference on Compute and Data Analysis
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Author:

Guan Yu¹,Chen Xi'ai²,Tian Jiandong²,Tang Yandong²

Affiliation:

1. State Key Laboratory of Robotics;Institutes for Robotics and Intelligent Manufacturing, Shenyang Institute of Automation,Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China

2. State Key Laboratory of Robotics;Institutes for Robotics and Intelligent Manufacturing, Shenyang Institute of Automation,Chinese Academy of Sciences, China

Funder

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Natural Science Foundation of Liaoning Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3523089.3523101

Reference18 articles.

1. Shadow detection in very high spatial resolution aerial images: A comparative study

2. An Adaptive Nonlocal Regularized Shadow Removal Method for Aerial Remote Sensing Images

3. Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset

4. Extended Random Walker for Shadow Detection in Very High Resolution Remote Sensing Images

5. Liasis G. Stavrou S. 2016. Satellite images analysis for shadow detection and building height estimation. ISPRS J. Photogramm. Remote Sens. 119 437–450. Liasis G. Stavrou S. 2016. Satellite images analysis for shadow detection and building height estimation. ISPRS J. Photogramm. Remote Sens. 119 437–450.

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2. OAMSFNet: Orientation-Aware and Multi-Scale Feature Fusion Network for shadow detection in remote sensing images via pseudo shadow;International Journal of Remote Sensing;2023-09-02