scholarly journals Republic of Armenia and surrounding areas : Shirak satellite image map

1999 ◽  
Keyword(s):  
Satellite Image ◽  
Surrounding Areas

scholarly journals Lineament automatic extraction analysis for Galal Badra river basin using Landsat 8 satellite image

2019 ◽  
Vol 12 (25) ◽  
pp. 44-55 ◽  
Author(s):  
Safaa Sabah Adhab
Keyword(s):  
Program Analysis ◽  
Satellite Image ◽  
Landsat 8 ◽  
Automatic Extraction ◽  
Lineament Density ◽  
Density Analysis ◽  
Lineament Analysis ◽  
Intersection Density ◽  
Surrounding Areas ◽  
The Relationship

This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration the lineaments because its plays an important role in the study area.

scholarly journals Chlorophyll Segmentation Of Satellite Image With Region-Based Active Contours

2020 ◽  
Author(s):  
Herman Kabetta
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Image Segmentation ◽  
Satellite Imagery ◽  
Active Contours ◽  
Satellite Image ◽  
Accurate Method ◽  
Complex Task ◽  
Surrounding Areas

In image processing, segmentation is a complex task that requires the use of an accurate method. Interpretation of satellite image today is important in remote sensing tasks. A defined area of satellite image segmentation to be performed. The purpose of this study was to use a method for extracting boundary Active Contours of chlorophyll from satellite imagery, so it can be known areas that contain chlorophyll and areas that do not contain chlorophyll. The results demonstrate the effectiveness of this method of segmentation between the chlorophyll and the surrounding areas that contain little or no chlorophyll.

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