Detection and Monitoring of Power Line Corridor From Satellite Imagery Using RetinaNet and K-Mean Clustering
Monitoring of electrical transmission towers (TTs) is required to maintain the integrity of power lines. One major challenge is monitoring vegetation encroachment that can cause power interruption. Most of the current monitoring techniques use unmanned aerial vehicles (UAV) and airborne photography...
Main Authors: | Fathi Mahdi Elsiddig Haroun, Siti Noratiqah Mohamad Deros, Norashidah Md Din |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9519668/ |
Similar Items
-
Detection of Vegetation Encroachment in Power Transmission Line Corridor from Satellite Imagery Using Support Vector Machine: A Features Analysis Approach
by: Fathi Mahdi Elsiddig Haroun, et al.
Published: (2021-06-01) -
Lung-RetinaNet: Lung Cancer Detection Using a RetinaNet With Multi-Scale Feature Fusion and Context Module
by: Rabbia Mahum, et al.
Published: (2023-01-01) -
A-RetinaNet: A novel RetinaNet with an asymmetric attention fusion mechanism for dim and small drone detection in infrared images
by: Zhijing Xu, et al.
Published: (2023-01-01) -
Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
by: Yuanyuan Wang, et al.
Published: (2019-03-01) -
Towards Self-Powered WSN: The Design of Ultra-Low-Power Wireless Sensor Transmission Unit Based on Indoor Solar Energy Harvester
by: Fathi Mahdi Elsiddig Haroun, et al.
Published: (2022-07-01)