ESP-LRSMD: A Two-Step Detector for Ship Detection Using SLC SAR Imagery-Reference-Cited by-同舟云学术

ESP-LRSMD: A Two-Step Detector for Ship Detection Using SLC SAR Imagery

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lv Zongsen¹^ORCID,Lu Jing²,Wang Qing³,Guo Zhengwei¹,Li Ning¹^ORCID

Affiliation:

1. Key Laboratory of Big Data Analysis and Processing of Henan Province, Henan Engineering Research Center of Intelligent Technology and Application, College of Computer and Information Engineering, Henan University, Kaifeng, China

2. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China

3. Air Force Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09857916.pdf?arnumber=9857916

Reference61 articles.

1. Image Classification with the Fisher Vector: Theory and Practice

2. Target Detection by Exploiting Superpixel-Level Statistical Dissimilarity for SAR Imagery

3. You Only Look Once: Unified, Real-Time Object Detection

4. PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery

5. Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images

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