Urban Change Pattern Exploration Using Fine-resolution SAR of Ascending and Descending Orbits

Autor: Paolo Gamba, Meiqin Che
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE Radar Conference (RadarConf20).
DOI: 10.1109/radarconf2043947.2020.9266679
Popis: In the last few decades, worldwide urbanization has promoted the emergence of megacities, megalopolises, urban clusters or large urban aggregations. It brings greater global challenges and climatic, environmental, socio-economical issues. Thanks to advanced remote sensing technologies, the necessary and urgent need to monitor urban changes can be performed by using multi-temporal and spatially fine-resolution data of increasing availability. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis. In this paper, exploiting fine-resolution SAR of ascending and descending orbit over urban areas, multi-pattern changes are mapped by means of a novel cascade clustering technique and visualized/interpreted by means of a change vector analysis.
Databáze: OpenAIRE