Ship Detection in Range-Compressed SAR Data-Reference-Cited by-同舟云学术

Ship Detection in Range-Compressed SAR Data

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Leng Xiangguang¹,Wang Jin¹,Ji Kefeng¹,Kuang Gangyao¹

Affiliation:

1. College of Electronic Science and Technology, National University of Defense Technology,State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,Changsha,China,410073

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884909.pdf?arnumber=9884909

Reference9 articles.

1. Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection

2. Discriminating Ship From Radio Frequency Interference Based on Noncircularity and Non-Gaussianity in Sentinel-1 SAR Imagery

3. Essential Statistics and Tools for Complex Random Variables

4. Complex Signal Kurtosis—Indicator of Ship Target Signature in SAR Images

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1. Lightweight Ship Detection Network for SAR Range-Compressed Domain;Remote Sensing;2024-09-04

2. Ship Detection From Raw SAR Echoes Using Convolutional Neural Networks;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. A Novel CFAR-Based Ship Detection Method Using Range-Compressed Data for Spaceborne SAR System;IEEE Transactions on Geoscience and Remote Sensing;2024

4. RCShip: A Dataset Dedicated to Ship Detection in Range-Compressed SAR Data;IEEE Geoscience and Remote Sensing Letters;2024

5. An Incept-TextCNN Model for Ship Target Detection in SAR Range-Compressed Domain;IEEE Geoscience and Remote Sensing Letters;2024