Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification

Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification

Remote sensing imagery typically comprises successive background contexts and complex objects. Global average pooling is a popular choice to connect the convolutional and fully connected (FC) layers for the deep convolution network. This article equips the networks with another pooling strategy, nam...

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Bibliographic Details
Main Authors: Kunlun Qi, Chao Yang, Chuli Hu, Yonglin Shen, Huayi Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
feature pooling
object-centric pooling
remote sensing (RS) scene classification
Online Access:https://ieeexplore.ieee.org/document/9497724/

Internet

https://ieeexplore.ieee.org/document/9497724/

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