Accurate classification of land-use/cover based on
remotely sensed data is important for interpreters who analyze time or
event-based change on certain areas. Any method that has user flexibility on
area selection provides great simplicity during analysis, since the analyzer
may need to work on a specific area of interest instead of dealing with the
entire remotely sensed data. The objectives of the paper are to develop an
automation algorithm using Matlab & Simulink on user selected areas, to
filter V-I-S (Vegetation, Impervious, Soil) components using the algorithm, to
analyze the components according to upper and lower threshold values based on
each band histogram, and finally to obtain land-use/cover map combining the
V-I-S components. LANDSAT 5TM satellite data covering Istanbul and Izmit
regions are utilized, and 4, 3, 2 (RGB) band combination is selected to fulfill
the aims of the study. These referred bands are normalized, and V-I-S
components of each band are determined. This methodology that uses Matlab &
Simulink program is equally successful like the unsupervised and supervised
methods. Practices with these methods that lead to qualitative and quantitative
assessments of selected urban areas will further provide important spatial
information and data especially to the urban planners and decision-makers.
Subjects | Engineering |
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Journal Section | Research Articles |
Authors | |
Publication Date | November 10, 2014 |
Published in Issue | Year 2014 Volume: 1 Issue: 1 |
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