Application of Machine Learning on Remote Sensing Data for Sugarcane Crop Classification: A Review
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-0630-7_55
Reference34 articles.
1. Verma AK, Garg PK, Prasad KSH (2017) Sugarcane crop identification from LISS IV data using ISODATA, MLC, and indices based decision tree approach. Arab J Geosci 10(1):16
2. Xavier AC, Rudorff BFT, Shimabukuro YE, Berka LMS, Moreira MA (2006) Multi-temporal analysis of MODIS data to classify sugarcane crop. Int J Remote Sens 27(4):755–768
3. Lu D, Weng Q (2007) A survey of image classification methods and techniques for improving classification performance. Int J Remote Sens 28(5):823–870
4. https://alan.do/remote-sensing-an-overview-of-common-pixel-classification-techniques-4827c4c3a9ff
5. Abdel-Rahman EM, Ahmed FB (2008) The application of remote sensing techniques to sugarcane (Saccharum spp. hybrid) production: a review of the literature. Int J Remote Sens 29(13):3753–3767
Cited by 14 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. A Review of Remote Sensing in Sugarcane Mapping;2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2023-07-25
2. Predicting Crop Growth Patterns with Spatial–Temporal Deep Feature Exploration for Early Mapping;Remote Sensing;2023-06-26
3. Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data;Agriculture;2023-04-29
4. Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine;Remote Sensing;2023-02-17
5. Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances;Remote Sensing;2023-01-06
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