Aeroplane detection from high-resolution remotely sensed imagery using bag-of-visual-words based hough forests-Reference-Cited by-同舟云学术

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Aeroplane detection from high-resolution remotely sensed imagery using bag-of-visual-words based hough forests

Published:2019-07-03 Issue:1 Volume:41 Page:114-131
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yu Yongtao¹,Yuan Yan¹,Guan Haiyan²,Li Dilong³,Gu Tiannan¹

Affiliation:

1. Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, China

2. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Science and Technology Project of Huaian City

Natural Science Research in Colleges and Universities of Jiangsu Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1637959

Reference26 articles.

1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

2. VHR Object Detection Based on Structural Feature Extraction and Query Expansion

3. Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

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