Coconut trees detection and segmentation in aerial imagery using mask region‐based convolution neural network-Reference-Cited by-同舟云学术

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Coconut trees detection and segmentation in aerial imagery using mask region‐based convolution neural network

Published:2021-04-09 Issue:6 Volume:15 Page:428-439
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET comput. vis

Author:

Iqbal Muhammad Shakaib¹,Ali Hazrat¹^ORCID,Tran Son N.²,Iqbal Talha³

Affiliation:

1. Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad Campus Abbottabad Pakistan

2. Department of Information and Communication Technology University of Tasmania Australia

3. Smart Sensor Lab School of Medicine National University of Ireland Galway Ireland

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12028

Reference35 articles.

1. Deep Learning for Vehicle Detection in Aerial Images

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1. Multilevel thresholding Aerial image segmentation using comprehensive learning-based Snow ablation optimizer with double attractors;Egyptian Informatics Journal;2024-09

2. Transferability of a Mask R–CNN model for the delineation and classification of two species of regenerating tree crowns to untrained sites;Science of Remote Sensing;2024-06

3. Application of Mask R-CNN Algorithm for Apple Detection and Semantic Segmentation;PRZEGLĄD ELEKTROTECHNICZNY;2024-05-14

4. Accurate detection and intelligent classification of solar cells defects based on photoluminescence images: A novel study on the optimized YOLOv5 model;Infrared Physics & Technology;2024-05

5. COCOs Nucifera Tree Disease Prediction Using Faster Region-Convolutional Neural Network with ResNet-50;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

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