Individual tree crown delineation from high-resolution UAV images in broadleaf forest

2021 ◽  
Vol 61 ◽  
pp. 101207
Author(s):  
Mojdeh Miraki ◽  
Hormoz Sohrabi ◽  
Parviz Fatehi ◽  
Mathias Kneubuehler
Keyword(s):  
High Resolution ◽  
Tree Crown ◽  
Individual Tree ◽  
Broadleaf Forest ◽  
Crown Delineation ◽  
Uav Images ◽  
Tree Crown Delineation

scholarly journals Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images

2018 ◽  
Vol 145 ◽  
pp. 362-377 ◽  
Author(s):  
Fabien Hubert Wagner ◽  
Matheus Pinheiro Ferreira ◽  
Alber Sanchez ◽  
Mayumi C.M. Hirye ◽  
Maciel Zortea ◽  
...  
Keyword(s):  
High Resolution ◽  
Tropical Forest ◽  
Satellite Images ◽  
Tree Crown ◽  
Individual Tree ◽  
High Resolution Satellite Images ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
Very High

scholarly journals A Region-Based Hierarchical Cross-Section Analysis for Individual Tree Crown Delineation Using ALS Data

2017 ◽  
Vol 9 (10) ◽  
pp. 1084 ◽  
Author(s):  
Yinghui Zhao ◽  
Yuanshuo Hao ◽  
Zhen Zhen ◽  
Ying Quan
Keyword(s):  
Cross Section ◽  
Tree Crown ◽  
Individual Tree ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
Section Analysis

scholarly journals ARBOR: A new framework for assessing the accuracy of individual tree crown delineation from remotely-sensed data

2019 ◽  
Vol 231 ◽  
pp. 111256
Author(s):  
Jon Murray ◽  
David Gullick ◽  
George Alan Blackburn ◽  
James Duncan Whyatt ◽  
Christopher Edwards
Keyword(s):  
Remotely Sensed ◽  
Tree Crown ◽  
Remotely Sensed Data ◽  
Individual Tree ◽  
Crown Delineation ◽  
Tree Crown Delineation ◽  
New Framework

scholarly journals INDIVIDUAL BANANA TREE CROWN DELINEATION USING UNMANNED AERIAL VEHICLE (UAV) IMAGES

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 581-585
Author(s):  
S. Kuikel ◽  
B. Upadhyay ◽  
D. Aryal ◽  
S. Bista ◽  
B. Awasthi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Tree Crown ◽  
Individual Tree ◽  
Banana Tree ◽  
Crown Delineation ◽  
Uav Images

Abstract. Individual Tree Crown (ITC) delineation from aerial imageries plays an important role in forestry management and precision farming. Several conventional as well as machine learning and deep learning algorithms have been recently used in ITC detection purpose. In this paper, we present Convolutional Neural Network (CNN) and Support Vector Machine (SVM) as the deep learning and machine learning algorithms along with conventional methods of classification such as Object Based Image Analysis (OBIA) and Nearest Neighborhood (NN) classification for banana tree delineation. The comparison was done based by considering two cases; Firstly, every single classifier was compared by feeding the image with height information to see the effect of height in banana tree delineation. Secondly, individual classifiers were compared quantitatively and qualitatively based on five metrices i.e., Overall Accuracy, Recall, Precision, F-Score, and Intersection Over Union (IoU) and best classifier was determined. The result shows that there are no significant differences in the metrices when height information was fed as there were banana tree of almost similar height in the farm. The result as discussed in quantitative and qualitative analysis showed that the CNN algorithm out performed SVM, OBIA and NN techniques for crown delineation in term of performance measures.

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