Automated Detection of Anthropogenic Changes in Municipal Infrastructure with Satellite Sub-meter Resolution Imagery
| Autor: | Dmitriy Mozgovoy, R Yu Tsarev, D. V. Kapulin, D. N. Svinarenko, A. I. Sablinskii, T. N. Yamskikh |
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| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
business.industry Computer science Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Image processing 02 engineering and technology 01 natural sciences Automation Urban planning Operational efficiency Metre Satellite imagery Satellite business 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030519735 CSOC (3) |
| Popis: | This paper discusses an efficient method for the automated detection of anthropogenic changes in urban development with multispectral satellite producing sub-meter resolution imagery. The proposed method efficiency is confirmed with vector layers of detected changes in urban development obtained as a result of processing infrared and visible multidate images. The developed technique significantly reduces complexity and thus increases operational efficiency of map updating due to automation of satellite imagery processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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