YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection
Published: 3 December 2024| Version 1 | DOI: 10.17632/znxyv9rtwp.1
Contributors:
Solhee Kim, , Description
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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Categories
Big Data Analytics, Exploratory Spatial Data Analysis