CHANGE PATTERN EXPLORATION WITH HIERARCHICAL BI-CLUSTERING ON SENTINEL-1 SAR AND NIGHTTIME LIGHT DATA
| Autor: | Paolo Gamba, Meiqin Che |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Applied optics. Photonics
010504 meteorology & atmospheric sciences Computer science lcsh:T Multispectral image Bi clustering lcsh:TA1501-1820 Megalopolis 010501 environmental sciences 01 natural sciences lcsh:Technology Hierarchical clustering Remote sensing (archaeology) lcsh:TA1-2040 Urbanization lcsh:Engineering (General). Civil engineering (General) 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-3-W2-2020, Pp 13-18 (2020) |
| ISSN: | 2194-9050 2194-9042 |
| Popis: | In the last few decades, urbanization activities have promoted the emergence of megacities, megalopolis, urban clusters or large urban aggregations, but only a few studies have analyzed them using remote sensing data in both the spatial and the temporal domains. In this paper, combining SAR and multispectral sensors with different resolutions, a novel approach, improved by means of a hierarchical clustering technique, is proposed. Urban changes are mapped in the form of multiple spatio-temporal patterns, visualized by change vectors exploiting the combination of SAR and nighttime light data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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