Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning

Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning

Mapping standing dead trees, especially, in natural forests is very important for evaluation of the forest's health status, and its capability for storing Carbon, and the conservation of biodiversity. Apparently, natural forests have larger areas which renders the classical field surveying meth...

Full description

Bibliographic Details
Main Authors:	Abubakar Sani-Mohammed, Wei Yao, Marco Heurich
Format:	Article
Language:	English
Published:	Elsevier 2022-12-01
Series:	ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:	Carbon storage CIR Aerial imagery Forest management Instance segmentation Mask R-CNN Standing dead tree
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667393222000138

Similar Items

Classification of single tree decay stages from combined airborne LiDAR data and CIR imagery
by: Tsz-Chung Wong, et al.
Published: (2024-11-01)

Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model
by: Zhihao Guan, et al.
Published: (2022-07-01)

Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach
by: Osmar Luiz Ferreira de Carvalho, et al.
Published: (2020-12-01)

Automatic detection of standing dead trees based on improved YOLOv7 from airborne remote sensing imagery
by: Hongwei Zhou, et al.
Published: (2024-01-01)

Towards complete tree crown delineation by instance segmentation with Mask R–CNN and DETR using UAV-based multispectral imagery and lidar data
by: S. Dersch, et al.
Published: (2023-04-01)

Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data
by: S. Briechle, et al.
Published: (2021-06-01)

Estimation of Garden Chrysanthemum Crown Diameter Using Unmanned Aerial Vehicle (UAV)-Based RGB Imagery
by: Jiuyuan Zhang, et al.
Published: (2024-02-01)

A generalised approach for high-throughput instance segmentation of stomata in microscope images
by: Hiranya Jayakody, et al.
Published: (2021-03-01)

Protein Crystal Instance Segmentation Based on Mask R-CNN
by: Jiangping Qin, et al.
Published: (2021-02-01)

Long-Tail Instance Segmentation Based on Memory Bank and Confidence Calibration
by: Xinyue Fan, et al.
Published: (2022-09-01)

Synthetic Datasets for Rebar Instance Segmentation Using Mask R-CNN
by: Haoyu Wang, et al.
Published: (2023-02-01)

Accounting for density reduction and structural loss in standing dead trees: Implications for forest biomass and carbon stock estimates in the United States
by: Domke Grant M, et al.
Published: (2011-11-01)

Instance Segmentation in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis
by: Yiping Gong, et al.
Published: (2021-12-01)

Contour Extraction of Individual Cattle From an Image Using Enhanced Mask R-CNN Instance Segmentation Method
by: Rotimi-Williams Bello, et al.
Published: (2021-01-01)

Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests
by: Shrinidhi Adke, et al.
Published: (2021-01-01)

A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture
by: Carlos Santos, et al.
Published: (2023-01-01)

Efficient Hybrid Supervision for Instance Segmentation in Aerial Images
by: Linwei Chen, et al.
Published: (2021-01-01)

Detecting Multi-Scale Rose Apple Skin and Defects Using Instance Segmentation With Anchors Optimization
by: Wilasinee Paewboontra, et al.
Published: (2024-01-01)

Instance segmentation scheme for roofs in rural areas based on Mask R-CNN
by: Mark Amo-Boateng, et al.
Published: (2022-08-01)

Automatic Detection of Corrosion in Large-Scale Industrial Buildings Based on Artificial Intelligence and Unmanned Aerial Vehicles
by: Rafael Lemos, et al.
Published: (2023-01-01)

DeepWindows: Windows Instance Segmentation through an Improved Mask R-CNN Using Spatial Attention and Relation Modules
by: Yanwei Sun, et al.
Published: (2022-02-01)

Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach
by: Zemin Han, et al.
Published: (2022-06-01)

Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field
by: Lei Shen, et al.
Published: (2022-07-01)

MRG-T: Mask-Relation-Guided Transformer for Remote Vision-Based Pedestrian Attribute Recognition in Aerial Imagery
by: Shun Zhang, et al.
Published: (2024-03-01)

Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning
by: Weirong Zhang, et al.
Published: (2022-12-01)

A lightweight building instance extraction method based on adaptive optimization of mask contour
by: Xiaoxue Liu, et al.
Published: (2023-08-01)

<i>PCIer</i>: Pavement Condition Evaluation Using Aerial Imagery and Deep Learning
by: Sisi Han, et al.
Published: (2023-02-01)

Occurrence of termites (Isoptera) on living and standing dead trees in a tropical dry forest in Mexico
by: Nancy Calderón-Cortés, et al.
Published: (2018-05-01)

Accurate Instance-Based Segmentation for Boundary Detection in Robot Grasping Application
by: Hong Hai Hoang, et al.
Published: (2021-05-01)

Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
by: Yiqing Zhang, et al.
Published: (2020-02-01)

An Instance Segmentation Model for Strawberry Diseases Based on Mask R-CNN
by: Usman Afzaal, et al.
Published: (2021-09-01)

Tree-CRowNN: A Network for Estimating Forest Stand Density from VHR Aerial Imagery
by: Julie Lovitt, et al.
Published: (2023-11-01)

Detection and Instance Segmentation of Grape Clusters in Orchard Environments Using an Improved Mask R-CNN Model
by: Xiang Huang, et al.
Published: (2024-06-01)

Intelligent Identification of Pine Wilt Disease Infected Individual Trees Using UAV-Based Hyperspectral Imagery
by: Haocheng Li, et al.
Published: (2023-06-01)

Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery
by: Kunyong Yu, et al.
Published: (2022-01-01)

An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation
by: Xiangkai Xu, et al.
Published: (2021-11-01)

MU R-CNN: A Two-Dimensional Code Instance Segmentation Network Based on Deep Learning
by: Baoxi Yuan, et al.
Published: (2019-09-01)

CPISNet: Delving into Consistent Proposals of Instance Segmentation Network for High-Resolution Aerial Images
by: Xiangfeng Zeng, et al.
Published: (2021-07-01)

Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network
by: Sani Success Ojogbane, et al.
Published: (2021-11-01)

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network
by: Xuran Pan, et al.
Published: (2018-11-01)