A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification

A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification

High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects. In this paper, a multiscale self-adaptive attention network (MSAA-Net...

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Bibliographic Details
Main Authors: Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
multiscale feature
feature fusion
scene classification
dual attention
Online Access:https://www.mdpi.com/2072-4292/12/14/2209

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