Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification

Volume: 58, Issue: 11, Pages: 7920 - 7930
Published: Nov 1, 2020
Abstract
Remote sensing image scene classification refers to assigning semantic labels according to the content of the remote sensing scenes. Most machine learning-based scene classification methods assume that training and testing data share the same distributions. However, in real application scenarios, this assumption is difficult to guarantee. Domain adaptation (DA) is a promising approach to address this problem by aligning the feature distribution...
Paper Details
Title
Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification
Published Date
Nov 1, 2020
Volume
58
Issue
11
Pages
7920 - 7930
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