2015
DOI: 10.1063/1.4912899
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Using mathematical algorithms for classification of LANDSAT 8 satellite images

Abstract: Articles you may be interested inKnowledge-based algorithm for satellite image classification of urban wetlands AIP Conf.Abstract. Satellite and aerial images are objective photographical representations of the reality from the field, related to spatial -temporal frames. The purpose of the present study is to create a comparative analysis of a LANDSAT 8 satellite image by supervised and unsupervised classification methods. The algorithms used in this research were maximum likelihood algorithm for supervised cl… Show more

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Cited by 16 publications
(5 citation statements)
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“…The supervised classification workflow involves selecting training pixels for each class and extracting their spectral signatures. Then, each pixel in the image is assigned to a class based on their spectral similarities and a classification algorithm (Campbell and Wynne, 2011;Herbei et al, 2015).…”
Section: Methodsmentioning
confidence: 99%
“…The supervised classification workflow involves selecting training pixels for each class and extracting their spectral signatures. Then, each pixel in the image is assigned to a class based on their spectral similarities and a classification algorithm (Campbell and Wynne, 2011;Herbei et al, 2015).…”
Section: Methodsmentioning
confidence: 99%
“…The data was generated from multispectral LandsatOLI8 imagery (LC08L1TP_195026_201700312 and LC08L1TP_195027_201700312; spectral bands [μm]: red [ch4]: 0.630–0.680; NIR [near infrared, ch5]: 0.845–0.885 [Barsi, Lee, Kvaran, Markham, & Pedelty, ]). The images were merged, recalculated and converted to a false‐color image to distinguish agricultural land from forest stands and open meadows (Herbei, Sala, & Boldea, ). In this context, so‐called vegetation indices (NDVI, normalized difference vegetation index) were produced by recalculating the spectral channels.…”
Section: Methodsmentioning
confidence: 99%
“…In the self-regulation of the geo-systems, it is exactly the biota that plays a great role, because it is the most important stabilizing factor of the territory. Due to its mobility and wide adaptability to the abiotic factors, the capability of recovering and creating an internal environment with specific regimes -light, thermal, water, and mineral -a certain degree of the landscape's sustainability is formed (Herbei et al, 2015).…”
Section: Methodsmentioning
confidence: 99%