Road Image Segmentation using Unmanned Aerial Vehicle Images and DeepLab V3+ Semantic Segmentation Model
Road image segmentation is critical in a variety of applications, including road maintenance, intelligent transportation systems, and urban planning. Numerous image segmentation techniques, including popular neural network approaches, have been proposed for unmanned aerial vehicle (UAV) images recen...
الحاوية / القاعدة: | Proceedings - 2021 11th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2021 |
---|---|
المؤلف الرئيسي: | 2-s2.0-85116203675 |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116203675&doi=10.1109%2fICCSCE52189.2021.9530950&partnerID=40&md5=162aeb362aa0ff355c989b3a3287f838 |
مواد مشابهة
-
DeeplabV3+ Model with CBAM and CSPM Attention Mechanism for Navel Orange Defects Segmentation
بواسطة: 2-s2.0-86000673018
منشور في: (2024) -
Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning
بواسطة: 2-s2.0-85151803936
منشور في: (2023) -
Image Segmentation for Pavement Crack Detection System
بواسطة: 2-s2.0-85093851482
منشور في: (2020) -
Image segmentation of repetitive patterns: A review
بواسطة: 2-s2.0-84919330305
منشور في: (2014) -
The application of UAV images in flood detection using image segmentation techniques
بواسطة: 2-s2.0-85112070255
منشور في: (2021)