Google Earth remote sensing images were applied to urban forest to detect crown characteristics. •. Mask R-CNN was proposed for complex urban forest ...
The analysis indicates that the tree crown detection model could accurately detect tree crowns under highly complex environments and demonstrates great ...
The analysis indicates that the tree crown detection model could accurately detect tree crowns under highly complex environments and demonstrates great ...
Apr 1, 2022 · The analysis indicates that the tree crown detection model could accurately detect tree crowns under highly complex environments and ...
In this study, we propose the application of a convolutional neural network—Mask R-CNN algorithm—to perform the tree crown detection and delineation.
Apr 5, 2023 · This article provides a systematic review of the studies that used CNN for ITDCD and identifies major trends and research gaps across six perspectives.
Jan 13, 2021 · We constructed a machine vision system for tree identification and mapping using Red–Green–Blue (RGB) image taken by an unmanned aerial vehicle (UAV) and a ...
Jul 10, 2024 · Detecting and mapping tree crowns based on convolutional neural network and Google Earth images. Article. Full-text available. Apr 2022; INT J ...
We present a deep learning-based framework that provides location, crown area, and height for individual overstory trees from aerial images at country scale.