This study compares the performance of two advanced methods, DL and OBIA, in individual cabbage plant detection tasks.

The results show that the Mask R-CNN deep learning model outperforms the object-based image analysis-multilevel distance transform watershed segmentation (OBIA- ...

Jun 1, 2023 · This study compares the performance of two advanced methods, DL and OBIA, in individual cabbage plant detection tasks.

OBIA methods are more complicated than pixel-based methods, but they can generate an improved segmentation result by leveraging different ML classifiers for ...

A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light ...

... in ... between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images.

Jun 16, 2024 · This study innovatively compares pixel-based and object-based approaches for machine learning-oriented classification methods to develop crop-type maps.

Sep 12, 2024 · The study utilized two object-based segmentation approaches: Simple Non-Iterative Clustering (SNIC) on the GEE platform and Object-Based Image ...

Jul 2, 2024 · Houxi Z. hang. “ A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage ...

Jun 20, 2024 · A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on ...