Classification of Land Cover and Land Use Using Deep Learning
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5078-9_28
Reference9 articles.
1. Helber P, Bischke B, Dengel A, Borth D (2017) EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification. IEEE J Sel Top Appl Earth Obs Remote Sens
2. He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: IEEE conference on computer vision and pattern recognition CVPR. IEEE, pp 770–777
3. Anderson JR, Hardy EE, Roach JT, Richard E (1976) Witmer. A land use and land cover classification system for use with remote sensor data. Prof Pap
4. Yang C, Rottensteiner F, Heipke C (2018) Classification of land cover and land use based on convolutional neural networks, ISPRS annals of the photogrammetry. Remote Sens Spat Inf Sci
5. Albert L, Rottensteiner F, Heipke C (2015) A higher order conditional random field model for simultaneous classification of land cover and land use. ISPRS
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. Deep Learning: An In-Depth Study of Algorithms and Application Areas;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
2. Incorporating Multi-Temporal Remote Sensing and a Pixel-Based Deep Learning Classification Algorithm to Map Multiple-Crop Cultivated Areas;Applied Sciences;2024-04-23
3. A framework base on deep neural network (DNN) for land use land cover (LULC) and rice crop classification without using survey data;Climate Dynamics;2023-07-06
4. Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region;Remote Sensing;2022-05-12
5. An Automatic Lung Nodule Classification System Based on Hybrid Transfer Learning Approach;SN Computer Science;2022-05-05
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