Ship detection of optical remote sensing image in multiple scenes-Reference-Cited by-同舟云学术

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Ship detection of optical remote sensing image in multiple scenes

Published:2021-06-03 Issue: Volume: Page:1-29
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Xungen¹²,Li Zixuan¹,Lv Shuaishuai¹²^ORCID,Cao Jing¹³,Pan Mian¹,Ma Qi¹,Yu Haibin¹

Affiliation:

1. School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou China

2. Pujiang Microelectronics and Intelligent Manufacturing Research Institute of Hangzhou Dianzi University, Hangzhou Dianzi University, Jinhua, China

3. Graduate School of Creative Industry Design, National Taiwan University of Arts

Funder

National Natural Science Foundation of China

National Key Research and Development Project of China

National Defense Science and Technology Key Laboratory Fund

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1931544

Reference37 articles.

1. Speeded-Up Robust Features (SURF)

2. Remote Sensing Image Registration Based on Modified SIFT and Feature Slope Grouping

3. A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques

4. Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor

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1. YOLO-RSA: A Multiscale Ship Detection Algorithm Based on Optical Remote Sensing Image;Journal of Marine Science and Engineering;2024-03-30

2. Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin;Plants;2024-02-29

3. A Decoupled Head and Multiscale Coordinate Convolution Detection Method for Ship Targets in Optical Remote Sensing Images;IEEE Access;2024

4. A Mask Guided Oriented Object Detector Based on Rotated Size-Adaptive Tricube Kernel;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Aerial hyperspectral remote sensing detection for maritime search and surveillance of floating small objects;Advances in Space Research;2023-09

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