Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification

Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification

Convolutional neural networks (CNNs) with the characteristics like spatial filtering, feed-forward mechanism, and back propagation-based learning are being widely used recently for remote sensing (RS) image classification. The fixed architecture of CNN with a large number of network parameters is ma...

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Bibliographic Details
Main Authors: Sankar K. Pal, Dasari Arun Kumar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep adaptive granulation
fuzzy rough feature selection
image classification
pixel uncertainty
remote sensing
roughness measure
Online Access:https://ieeexplore.ieee.org/document/9954889/

Internet

https://ieeexplore.ieee.org/document/9954889/

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