Pineapples’ Detection and Segmentation Based on Faster and Mask R-CNN in UAV Imagery

Early production warnings are usually labor-intensive, even with remote sensing techniques in highly intensive but fragmented growing areas with various phenological stages. This study used high-resolution unmanned aerial vehicle (UAV) images with a ground sampling distance (GSD) of 3 cm to detect t...

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Bibliographic Details
Main Authors: Yi-Shiang Shiu, Re-Yang Lee, Yen-Ching Chang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/3/814