Multi-Oriented Object Detection in High-Resolution Remote Sensing Imagery Based on Convolutional Neural Networks with Adaptive Object Orientation Features

Multi-Oriented Object Detection in High-Resolution Remote Sensing Imagery Based on Convolutional Neural Networks with Adaptive Object Orientation Features

In high-resolution earth observation systems, object detection in high spatial resolution remote sensing images (HSRIs) is the key technology for automatic extraction, analysis and understanding of image information. With respect to the multi-angle features of object orientation in HSRIs object dete...

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Bibliographic Details
Main Authors: Zhipeng Dong, Mi Wang, Yanli Wang, Yanxiong Liu, Yikai Feng, Wenxue Xu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
high spatial resolution remote sensing image
convolutional neural network
object detection
adaptive object orientation features
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/4/950

Internet

https://www.mdpi.com/2072-4292/14/4/950

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