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1.3.2. Multiscale morphological compressed change vector analysis

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In this section, we introduce a proposed multiscale morphological compressed change vector analysis (M2C2VA) method. It aims to investigate a proper way to integrate multiscale spectral–spatial change information, especially to improve multiclass change representation and discrimination in C2VA. The proposed approach consists of three main steps: 1) SCV reconstruction based on multiscale morphological processing; 2) multiscale change information ensemble; 3) multiclass change representation and discrimination. The block scheme of the proposed approach is shown in Figure 1.3.

Change Detection and Image Time-Series Analysis 1

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