Two-Stage Clustering Technique Based on the Neighboring Union Histogram for Hyperspectral Remote Sensing Images
This paper presents a novel unsupervised classification approach suited to hyperspectral remote sensing image data sets that uses K -means clustering combined with the neighboring union histogram (NUH). The approach is implemented in five main steps as follows: 1) dividing the hyperspectral image da...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7904660/ |