scholarly journals Comparison of tree distribution in the province of Baghdad and other random by using high-resolution satellite image

2021 ◽  
Vol 2114 (1) ◽  
pp. 012095
Author(s):  
G S Al-Hassany ◽  
Z N Abdul-Ameer
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
Satellite Image ◽  
The Other ◽  
Tree Distribution ◽  
Data Framework ◽  
Green Areas ◽  
Geographic Data ◽  
High Resolution Satellite Image

Abstract In this paper two, sites (Satellite„ Images) of planting groups (green areas) gathered from two different region in locale of Baghdad province : the first region represent luxury area and the other represent poor random region will„ be considered to recognize between„ them. The first group is made up of the most important plans in the province of„ Baghdad, while the second is a random gathering. The employing data might be a high-„ resolution adherent image, and the extricated scenes of a high-„ resolution toady image will„ be evaluated to be„ able to distinguish between them specifically by obsequious photos. The outcomes will be obtained using the„ Geographic data framework (GIS„Version 9.2) application.

scholarly journals Development of segmentation algorithm based region growing for software GIS GRASS

2010 ◽  
Vol 58 (1) ◽  
pp. 207-216
Author(s):  
Aleš Tippner
Keyword(s):  
Image Segmentation ◽  
High Resolution ◽  
Land Cover ◽  
Mathematical Morphology ◽  
Satellite Images ◽  
Satellite Image ◽  
Region Growing ◽  
Segmentation Algorithm ◽  
Aerial Photographs ◽  
High Resolution Satellite Image

Image segmentation is fundamental prerequisite for new satellite images interpretation methods. GIS GRASS provides segmentation tools enabling global image segmentation only. We designed procedure enabling local segmentation using existing GRASS tools and segmentation algorithm based on region growing that we developed with C++. This algorithm applies mathematical morphology operators to output segments, too. Principial aim of the project is creation of useful input for differentiation of base land cover classes in panchromatic high-resolution satellite image (or historical aerial photographs for example).

scholarly journals Penerapan Algoritma LZ77 dan Algoritma Difference Coding Untuk Memperkecil Ukuran pada Citra Satelite Geoeye

2020 ◽  
Vol 7 (2) ◽  
pp. 225
Author(s):  
Amanda Pratama ◽  
Muhammad Syahrizal
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Satellite Images ◽  
Satellite Image ◽  
Level Of Detail ◽  
The Other ◽  
Earth Surface ◽  
Surface Image

Geoeye satellite imagery is one of the satellite images that has a high resolution and is gaining in popularity in recent years. As one of the global satellite imagery, it is clear that this satellite image offers something that can amaze anyone of its users, this satellite image offers an earth surface image with a level of detail that can be considered extraordinary, and the level of accuracy after compared to satellite imagery that has high resolution the other

scholarly journals Comparing workflow application designs for high resolution satellite image analysis

2021 ◽  
Author(s):  
Aymen Al-Saadi ◽  
Ioannis Paraskevakos ◽  
Bento Collares Gonçalves ◽  
Heather J. Lynch ◽  
Shantenu Jha ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Satellite Image ◽  
High Resolution Satellite Image ◽  
Satellite Image Analysis ◽  
Workflow Application
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