Remote Sensing Scene Image Classification Based on mmsCNN–HMM with Stacking Ensemble Model

The development of convolution neural networks (CNNs) has become a significant means to solve the problem of remote sensing scene image classification. However, well-performing CNNs generally have high complexity and are prone to overfitting. To handle the above problem, we present a new classificat...

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Bibliographic Details
Main Authors: Xiang Cheng, Hong Lei
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/17/4423