| Autor: |
Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Remote Sensing, Vol 13, Iss 16, p 3135 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2072-4292 |
| DOI: |
10.3390/rs13163135 |
| Popis: |
The detection of building footprints and road networks has many useful applications including the monitoring of urban development, real-time navigation, etc. Taking into account that a great deal of human attention is required by these remote sensing tasks, a lot of effort has been made to automate them. However, the vast majority of the approaches rely on very high-resolution satellite imagery ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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