Basheer S. Jasim's research while affiliated with Al-Furat Al-Awsat Technical University and other places

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Publications (5)


Evaluating Land Use Land Cover Classification Based on Machine Learning Algorithms
  • Article

February 2024

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25 Reads

Engineering and Technology Journal

Basheer Jasim

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Amjed AL-Hameedawi
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Figure 4. Maximum likelhood classification.
Figure 6. Mahalanobis distance classification
Figure 7. Minimum distance classification
Rating of Kappa statistics
Implementation of Overall Accuracy and Kappa Coefficient for different classification methods
Land Use and Land Cover Analysis Using Geomatics Techniques in Amara City
  • Article
  • Full-text available

October 2023

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56 Reads

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2 Citations

Ecological Engineering & Environmental Technology

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Improving the spectral and spatial resolution of satellite image using geomatics techniques

April 2023

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122 Reads

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4 Citations

AIP Conference Proceedings

In this paper, space image of the Quick Bird satellite of a pixel size 0.6m*0.6m for the year 2007 were merge the layers through the layer stack process from seven layers to three layers and combined in color composites using ERDAS Imagine Ver. 9.2. Also monitoring ground control points with coordinates E, N, monitored by the Differential Ground Position System (DGPS) device and these points are processed through the OPUS site from the internet. The results of the tests show that the proposed strategy improves the contrast of the most essential difficulties in image processing and perform digital enhancement of the satellite image through a filter suitable to show the edges of the image appropriately, edge detect through the process principle components. This study presents a method for creating a high-resolution satellite image with corrected coordinates for the aim of creating a surveying map that includes all terrain elements and landmarks in the study area. The production of a geometric and spatial resolution image capable of producing a map of cities.

Citations (2)


... The value from 0.20 to 0.40 is in the middling range, while the value from 0.4 to 0.6 has a reasonable consensus. In conclusion, an accuracy of extremely excellent agreement between the LULC classification and actual ground data may be found between 0.8 and 1 [7], [46]. ...

Reference:

Evaluating Land Use Land Cover Classification Based on Machine Learning Algorithms
Land Use and Land Cover Analysis Using Geomatics Techniques in Amara City

Ecological Engineering & Environmental Technology

... This cover may include water, vegetation, barren earth, and artificial structures [2]. In this respect, applying spectral classification to satellite images is of considerable use to planners and those concerned with the problem of the LULC [8,9]. ...

Improving the spectral and spatial resolution of satellite image using geomatics techniques

AIP Conference Proceedings