Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques

Abstract. The extraction of land boundaries from SAR images plays a pivotal role in advancing peace processes and comprehensive rural reform in Colombia, this article explores the application of artificial intelligence (AI) techniques to automate boundary extraction, emphasising its significance in the context of Colombia’s ongoing efforts to resolve land disputes and promote rural development, Traditional methods of delimitation are often time – consuming and prone to human error, by leveraging AI, specifically machine learning algorithms, we can achieve precise and efficient boundary extraction, reducing the need for extensive manual intervention, this automatization facilities accurate land registry updates, which are essential for fair land distribution and the resolution of territorial conflicts.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2024-11-07
DOI
https://doi.org/10.5194/isprs-archives-xlviii-3-2024-295-2024
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques

Diego Grados, Javier Felip León, Martha Valbuena
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Geological Modeling and Analysis
article

Automatic Boundary Extraction from RADAR Images Using Artificial Intelligence Techniques

Diego Grados, Javier Felip León, Martha Valbuena
article en

Abstract

Abstract. The extraction of land boundaries from SAR images plays a pivotal role in advancing peace processes and comprehensive rural reform in Colombia, this article explores the application of artificial intelligence (AI) techniques to automate boundary extraction, emphasising its significance in the context of Colombia’s ongoing efforts to resolve land disputes and promote rural development, Traditional methods of delimitation are often time – consuming and prone to human error, by leveraging AI, specifically machine learning algorithms, we can achieve precise and efficient boundary extraction, reducing the need for extensive manual intervention, this automatization facilities accurate land registry updates, which are essential for fair land distribution and the resolution of territorial conflicts.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-3-2024
Universidad Distrital Francisco José de Caldas (CO), PROGAL (Colombia) (CO)
No poverty
Openalex Percentile: Top 80%
Geological Modeling and Analysis
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