Land Usage Identification with Fusion of Thepade SBTC and Sauvola Thresholding Features of Aerial Images Using Ensemble of Machine Learning Algorithms
| Autor: | Piyush R. Chaudhari, Sudeep D. Thepade |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Pattern recognition 02 engineering and technology Thresholding ComputingMilieux_GENERAL Identification (information) 020901 industrial engineering & automation Resource (project management) Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Applied Artificial Intelligence. 35:154-170 |
| ISSN: | 1087-6545 0883-9514 |
| DOI: | 10.1080/08839514.2020.1842627 |
| Popis: | Detecting the appropriate usage of a piece of land is known as Land Usage Mining. The key resource to detect the Land Usages is aerial Images. The advancement in technology in form of satellites, d... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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