Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images-Reference-Cited by-同舟云学术

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Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huang Kan¹^ORCID,Li Nannan²^ORCID,Huang Jiarong¹^ORCID,Tian Chunwei³^ORCID

Affiliation:

1. School of Information Engineering, Shanghai Maritime University, Shanghai, China

2. School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

3. School of Software, Northwestern Polytechnic University, Xi'an, China

Funder

National Natural Science Foundation of China

Shanghai Municipal Natural Science Foundation

Science and Technology Development Fund (FDCT) of Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10466772.pdf?arnumber=10466772

Reference62 articles.

1. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression

2. Context-Aware Saliency Detection

3. Quaternion representation based visual saliency for stereoscopic image quality assessment

4. Region-Based Saliency Detection and Its Application in Object Recognition

5. Frequency-tuned salient region detection

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images;Remote Sensing;2024-08-14

2. Multilevel Interactive Reverse-Guided Network for Salient Object Detection in Optical Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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