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Ensemble learning based on neural networks for tree image segmentation
Tree image segmentation is an essential component of forest management. Many
convolutional neural networks (CNNs) based methods have been proposed for the image …
convolutional neural networks (CNNs) based methods have been proposed for the image …
Efficient Tree Map** through Deep Distance Transform (DDT) Learning
J Schindler, Z Sun, B Xue, M Zhang - Available at SSRN 4979539, 2024 - papers.ssrn.com
Trees provide essential ecosystem services in urban areas, rural landscapes and forests.
Individual tree information can inform forest and risk modelling, health studies and decision …
Individual tree information can inform forest and risk modelling, health studies and decision …
Machine Learning For Tree Image Segmentation
B Xu - 2024 - openaccess.wgtn.ac.nz
Semantic segmentation is an important task in computer vision and image processing,
especially in many real-world applications, such as medical image analysis, video …
especially in many real-world applications, such as medical image analysis, video …
A Study on Creating Digital Twin Foliage Representation Through Computer Vision, Aerial Image Analysis and Machine Learning Techniques to Enhance the Network …
H Shaik - 2024 - search.proquest.com
This study investigates the development of a Digital Twin Representation of Foliage (DTRF)
to enhance network planning and deployment strategies in urban environments …
to enhance network planning and deployment strategies in urban environments …