Adaptive Multiscale Superpixel Embedding Convolutional Neural Network for Land Use Classification

Adaptive Multiscale Superpixel Embedding Convolutional Neural Network for Land Use Classification

Currently, a large number of remote sensing images with different resolutions are available for Earth observation and land monitoring, which are inevitably demanding intelligent analysis techniques for accurately identifying and classifying land use (LU). This article proposes an adaptive multiscale...

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Bibliographic Details
Main Authors: Huaizhong Zhang, Callum Altham, Marcello Trovati, Ce Zhang, Iain Rolland, Lanre Lawal, Dozien Wegbu, Nemitari Ajienka
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
land use (LU) classification
superpixel embedding CNN
very fine spatial resolution remotely sensed imagery
Online Access:https://ieeexplore.ieee.org/document/9875975/

Internet

https://ieeexplore.ieee.org/document/9875975/

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