Segmentation of farmlands in aerial images by deep learning framework with feature fusion and context aggregation modules
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14962-5.pdf
Reference87 articles.
1. AI-amari SS, Kalyakar NV, Khamitkar SD (2010) Image segmentation by using thershod techniques. J Comput 2(5):83–86
2. Arbeláez P, Hariharan B, Gu C, Gupta S, Bourdev L, Malik J (2012) Semantic segmentation using regions and parts. In: 2012 IEEE conference on computer vision and pattern recognition. IEEE, pp 3378–3385
3. Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell 39(12):2481–2495
4. Bhatnagar V, Chandra R (2020) Iot-based soil health monitoring and recommendation system. In: Internet of things and analytics for agriculture, vol 2. Springer, pp 1–21
5. Bischke B, Helber P, Folz J, Borth D, Dengel A (2019) Multi-task learning for segmentation of building footprints with deep neural networks. In: 2019 IEEE International Conference on Image Processing (ICIP). IEEE, pp 1480–1484
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fine classification of rice fields in high-resolution remote sensing images;Scientific Reports;2024-09-06
2. Dirty road extraction from GF-2 images by semi-supervised deep learning method for arid and semiarid regions of southern Mongolia;International Journal of Digital Earth;2024-07-30
3. Intelligent pesticide recommendation system for cocoa plant using computer vision and deep learning techniques;Environmental Research Communications;2024-06-27
4. A novel deep learning model for extracting arable land from high-resolution remote sensing images in hilly areas: a case study in the Sichuan Basin of Southwest China;Geocarto International;2024-01
5. An adaptive multichannel DeepLabv3 + for semantic segmentation of aerial images using improved Beluga Whale Optimization Algorithm;Multimedia Tools and Applications;2023-10-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3