A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery |
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| Authors: | Rafik Bouhennache Toufik Bouden Abdmalik Taleb-Ahmed Abbas Cheddad |
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| Institution: | 1. Non Destructif Testing Laboratory (NDT Lab), Automatic Department, Sciences and Technology Faculty, Mohammed Seddik Ben Yahia University of Jijel, Jijel, Algeria;2. Science and Technology Department, Science and Technology Institute, University Center of Mila, Mila, Algeria;3. rafik.bouhennache@gmail.com;5. IEMN DOAE Le Mont Houy, University of Valenciennes, Valenciennes, France;6. Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden |
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| Abstract: | AbstractExtracting built-up areas from remote sensing data like Landsat 8 satellite is a challenge. We have investigated it by proposing a new index referred as built-up land features extraction index (BLFEI). The BLFEI index takes advantage of its simplicity and good separability between the four major component of urban system, namely built-up, barren, vegetation and water. The histogram overlap method and the spectral discrimination index (SDI) are used to study separability. BLFEI index uses the two bands of infrared shortwaves, the red and green bands of the visible spectrum. OLI imagery of Algiers, Algeria, was used to extract built-up areas through BLFEI and some new previously developed built-up indices used for comparison. The water areas are masked out leading to Otsu’s thresholding algorithm to automatically find the optimal value for extracting built-up land from waterless regions. BLFEI, the new index improved the separability by 25% and the accuracy by 5%. |
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| Keywords: | Built-up land extraction index Landsat 8 spectral |
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