Algorithm selection for edge detection in satellite images by neutrosophic WASPAS method

Autor: Romualdas Bausys, Ana Usovaite, Giruta Kazakeviciute-Januskeviciene, Fausto Cavallaro
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Visual perception
Computer science
Geography
Planning and Development
lcsh:TJ807-830
lcsh:Renewable energy sources
02 engineering and technology
010501 environmental sciences
Management
Monitoring
Policy and Law
01 natural sciences
Edge detection
Algorithm Selection
Neutrosophic set
0202 electrical engineering
electronic engineering
information engineering
Selection (genetic algorithm)
lcsh:Environmental sciences
MCDM
0105 earth and related environmental sciences
lcsh:GE1-350
Renewable Energy
Sustainability and the Environment
business.industry
lcsh:Environmental effects of industries and plants
Orthophoto imagery
WASPAS
Pattern recognition
computer.file_format
lcsh:TD194-195
020201 artificial intelligence & image processing
Satellite
Artificial intelligence
Raster graphics
business
computer
Zdroj: Sustainability
Volume 12
Issue 2
Sustainability, Vol 12, Iss 2, p 548 (2020)
Popis: Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for the adaptive selection of edge detection algorithms using visual features of satellite images and the multi-criteria decision-making (MCDM) method. It is not trivial to select the most appropriate method for the chosen satellite images as there is no proper algorithm for all cases as it depends on many factors, like acquisition and content of the raster images, visual features of real-world images, and humans&rsquo
visual perception. The edge detection algorithms were ranked according to their suitability for the appropriate satellite images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The results obtained using the created methodology were verified with results acquired in an alternative way&mdash
using the edge detection algorithms for specific images. This methodology facilitates the selection of a proper edge detector for the chosen image content.
Databáze: OpenAIRE
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