Polycentric Circle Pooling in Deep Convolutional Networks for High-Resolution Remote Sensing Image Recognition

Polycentric Circle Pooling in Deep Convolutional Networks for High-Resolution Remote Sensing Image Recognition

Most existing deep learning-based methods use feature maps extracted from convolutional neural networks (CNNs) for classification and detection of high-resolution remote sensing images (HRSIs). However, directly applying these features to classification and object detection in HRSI is problematic be...

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Bibliographic Details
Main Authors: Kunlun Qi, Chao Yang, Chuli Hu, Qingfeng Guan, Wenwen Tian, Shengyu Shen, Feifei Peng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Concentric circle
convolutional neural network
object detection
rotation invariance
scene classification
Online Access:https://ieeexplore.ieee.org/document/8977374/

Internet

https://ieeexplore.ieee.org/document/8977374/

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