Land Cover Changes Detection Using Region Growing Segmentation
2020
Abstract .This paper try to explore an image segmentation model using the
region growing method, the method used to segment landsat (land satelite)
images for detecting land cover changes. More than 100 images was used in
the works, and they collecting from google earth start from year 2015 to year
2019. The accuracy and effectiveness of developing area segmentation
methods was computed using using ROC (receiver ooperational
ccharacteristics) and studying changes or deterioration quality of certain areas
using Landsat satellite images. By building a model or pattern of changes that
occur over a certain period of time, and ultimately we will know how new
conditions will occur in the near future. on a foundation based on the pattern
as well as what is expected to occur in the future (disaster forcasting) can be
seen the information. Finally, from the experiment more white pixel shown
more land cover changes happened.
Keyword: image segmentation, region growing, land quality
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