In this study, we propose the application of a convolutional neural network—Mask R-CNN algorithm—to perform the tree crown detection and delineation.
The algorithm uses very high-resolution satellite images from tropical forests. The results obtained are promising—the Recall, Precision, and F1 score values ...
Title: Tree Crown Delineation Algorithm Based on a Convolutional Neural Network. ; Language: English ; Authors: G. Braga, José R. · (AUTHOR) jgarciabraga@gmail.com
The authors argue that the main novelties in this work are a) the algorithm for creating synthetic images to increase the amount of training data and b) the ...
This algorithm can be employed to automatically segment crown regions in full-size images. The structure of tree crown segmentation based on the Mask R-CNN ...
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.
We developed a novel working framework by integrating an advanced deep learning technology, the Mask Region-based Convolutional Neural Network (Mask R-CNN) ...
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Nov 11, 2022 · In this article, we introduce neuro-symbolic DeepForest, a convolutional neural network (CNN)-based ITC delineation algorithm that uses a neuro- ...
A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN) · 12 Citations · 116 References.