Infrared Small Target Detection Based on Improved Tri-Layer Window Local Contrast-Reference-Cited by-同舟云学术

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Infrared Small Target Detection Based on Improved Tri-Layer Window Local Contrast

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Luo Yuan¹,Li Xiaorun¹,Chen Shuhan¹,Xia Chaoqun²,Zhao Liaoying³

Affiliation:

1. Zhejiang University,College of Electrical Engineering,Hangzhou,China,310027

2. Wenzhou University,College of Computer Science and Artificial Intelligence,Wenzhou,China,325035

3. Hangzhou Dianzi University,Institute of Computer Application Technology,Hangzhou,China,310018

Funder

National Natural Science Foundation of China

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281827.pdf?arnumber=10281827

Reference12 articles.

1. IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial–Temporal Tensor Model

2. Infrared Small Target Detection via Dynamic Image Structure Evolution

3. Omnidirectional Mirror Gradient Dissimilarity for Infrared Small Target Detection

4. A Local Contrast Method for Small Infrared Target Detection

5. Infrared Small Target Detection Utilizing the Multiscale Relative Local Contrast Measure

Cited by 3 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. 4DST-BTMD: An Infrared Small Target Detection Method Based on 4-D Data-Sphered Space;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Clustering and Tracking-Guided Infrared Spatial–Temporal Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Feedback Spatial–Temporal Infrared Small Target Detection Based on Orthogonal Subspace Projection;IEEE Transactions on Geoscience and Remote Sensing;2024

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