Evaluation of different approaches to the fusion of Sentinel -1 SAR data and Resourcesat 2 LISS III optical data for use in crop classification
| Autor: | Neetu, Shibendu S. Ray |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Synthetic aperture radar
Fusion 3D optical data storage Decision level 010504 meteorology & atmospheric sciences Pixel Computer science business.industry 0211 other engineering and technologies Pattern recognition 02 engineering and technology Sensor fusion 01 natural sciences Feature (computer vision) Earth and Planetary Sciences (miscellaneous) Artificial intelligence Electrical and Electronic Engineering business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Remote Sensing Letters. 11:1157-1166 |
| ISSN: | 2150-7058 2150-704X |
| DOI: | 10.1080/2150704x.2020.1832278 |
| Popis: | This study evaluates various combinations of data fusion techniques at Pixel, Feature, and Decision level for crop classification using Sentinel-1 Synthetic Aperture Radar (SAR) data and Resourcesa... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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