YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection

YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection

This study aims to develop an innovative fusion model integrating You Only Look Once (YOLO) and Segmentation Anything Model (SAM) to improve the accuracy and efficiency of agricultural field detection and delineation from high-resolution drone imagery.

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Bibliographische Detailangaben
Hauptverfasser: Kim, Solhee, Jeon, Jeongbae, Kim, Taegon
Format: Dataset
Sprache:eng
Schlagworte:
Big Data Analytics
Exploratory Spatial Data Analysis
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Beschreibung
Zusammenfassung:This study aims to develop an innovative fusion model integrating You Only Look Once (YOLO) and Segmentation Anything Model (SAM) to improve the accuracy and efficiency of agricultural field detection and delineation from high-resolution drone imagery.
DOI:10.17632/znxyv9rtwp.1