A double-layer feature fusion convolutional neural network for infrared small target detection-Reference-Cited by-同舟云学术

A double-layer feature fusion convolutional neural network for infrared small target detection

Published:2023-01-17 Issue:2 Volume:44 Page:407-427
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Dandan¹²^ORCID,Pang Boyu¹²,Lv Shuai¹²,Yin Zhonghai³,Lian Xiaoying¹²,Sun Dexin¹^ORCID

Affiliation:

1. Key Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Nantong Academy of Intelligent Sensing, Nantong, Jiangsu, China

Funder

Major Program of National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2161852

Reference29 articles.

1. Infrared small-target detection via tensor construction and decomposition

2. A Local Contrast Method for Small Infrared Target Detection

3. Asymmetric Contextual Modulation for Infrared Small Target Detection

4. Detection and tracking of infrared small target by jointly using SSD and pipeline filter

5. Region proposal patch-image model for infrared small target 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. Spatial-Temporal Weighted and Regularized Tensor Model for Infrared Dim and Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Remote sensing traffic scene retrieval based on learning control algorithm for robot multimodal sensing information fusion and human-machine interaction and collaboration;Frontiers in Neurorobotics;2023-10-11