HIGHLIGHTS
- who: Carlo (BDMCMC et al. from the (UNIVERSITY) have published the article: remote sensing, in the Journal: (JOURNAL)
- what: In this study an innovative high-resolution remote sensing image segmentation algorithm is proposed based on a flexible hierarchical GMM (HGMM). In this study, a new HGMM is proposed, where the components can accurately model the asymmetric, heavy-tailed, and multimodal distributions of pixel intensities in each object region.
- how: The histograms of data are shown in Figure 1a which presents the regions in different colors Yellow (Region 1) green (Region 2) and blue . . .
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