OAMSFNet: Orientation-Aware and Multi-Scale Feature Fusion Network for shadow detection in remote sensing images via pseudo shadow-Reference-Cited by-同舟云学术

OAMSFNet: Orientation-Aware and Multi-Scale Feature Fusion Network for shadow detection in remote sensing images via pseudo shadow

Published:2023-09-02 Issue:17 Volume:44 Page:5473-5495
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Feng Jiangfan¹^ORCID,Liu Juntao¹^ORCID,Gu Zhujun²^ORCID,Zheng Wei¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China

2. Pearl River Water Resources Research Institute, Pearl River Water Resources Commission, Guangzhou, P.R.China

Funder

National Natural Science Foundation of China

the Major Science and Technology Project of the Ministry of Water Resources

the Chongqing Higher Education Teaching Reform Research Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2249603

Reference43 articles.

1. Badrinarayanan, V., A. Kendall, and Roberto Cipolla SegNet. 2015. “A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.” arXiv preprint arXiv:1511.00561 5.

2. Modified invariant colour model for shadow detection

3. Remote Sensing Image Scene Classification: Benchmark and State of the Art

4. Chen, J., L. Yongyi, Y. Qihang, X. Luo, E. Adeli, Y. Wang, L. Lu, A. L. Yuille, and Y. Zhou. 2021. “Transunet: Transformers Make Strong Encoders for Medical Image Segmentation.” arXiv preprint arXiv:2102.04306.

5. Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention

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