Target Detection Based on Spectral Derivation in HSI Shadow Region Classified by Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Target Detection Based on Spectral Derivation in HSI Shadow Region Classified by Convolutional Neural Networks

Published:2019-11-02 Issue:6 Volume:45 Page:782-794
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Liu Xuefeng¹,Wang Congcong¹,Meng Yue¹,Wang Hao¹,Fu Min²,Bourennane Salah³

Affiliation:

1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China;

2. College of Information Science and Engineering, Ocean University of China, Qingdao, China;

3. Institut Fresnel, Ecole Centrale de Marseille, Marseille, France

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1697221

Reference43 articles.

1. Performance analysis of energy detection‐based spectrum sensing in κ–μ shadowed fading

2. Shadow detection in colour high‐resolution satellite images

3. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

4. Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas

5. Convolutional Neural Network for Finger-Vein-Based Biometric Identification

Cited by 4 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. A review of research on remote sensing images shadow detection and application to building extraction;European Journal of Remote Sensing;2023-12-13

2. HSI Classification Based on Multimodal CNN and Shadow Enhance by DSR Spatial-Spectral Fusion;Canadian Journal of Remote Sensing;2021-08-18

3. A Fast Recursive LRX Algorithm with Extended Morphology Profile for Hyperspectral Anomaly Detection;Canadian Journal of Remote Sensing;2021-08-08

4. Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach;Canadian Journal of Remote Sensing;2021-07-26

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