| Autor: |
Benkouider, Fatiha, Abdellaoui, Abdelkader, Hamami, Latifa |
| Zdroj: |
Journal of the Indian Society of Remote Sensing; Feb2019, Vol. 47 Issue 2, p185-192, 8p |
| Abstrakt: |
Managing urban sprawl is a major concern for urban planning. Its negative effects on the environment are of great significance. Remote sensing images are useful for monitoring the spatial distribution and growth of urban built-up areas because they can provide timely and synoptic views of urban land cover. This study proposes a new built-up index for the rapid extraction of built-up land from satellite imagery. The new index has been applied to SPOT images of the cities of Laghouat and M'Sila in Algeria. The newly proposed index was compared with the following indices used in the literature: the normalized difference built-up index, the built-up index, the index-based built-up index and the maximum likelihood classifier. The results, which have an accuracy of 95%, show that the proposed index can significantly enhance built-up land features while effectively suppressing background noise without thresholding, and it is able to serve as a worthwhile alternative for quickly and objectively mapping built-up areas. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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