Analyzing the impact of red-edge band on land use land cover classification using multispectral RapidEye imagery and machine learning techniques
Author:
Affiliation:
1. Indian Institute of Technology (IIT) Roorkee, Department of Geomatics Engineering, Roorkee, Uttarakh
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference42 articles.
1. A survey of image classification methods and techniques for improving classification performance
2. A relative evaluation of multiclass image classification by support vector machines
3. Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image
4. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
5. Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models
Cited by 13 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. Research on density grading of hybrid rice machine-transplanted blanket-seedlings based on multi-source unmanned aerial vehicle data and mechanized transplanting test;Computers and Electronics in Agriculture;2024-07
2. Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis;Remote Sensing;2024-03-30
3. Land use land cover mapping and snow cover detection in Himalayan region using machine learning and multispectral Sentinel-2 satellite imagery;International Journal of Information Technology;2024-01-03
4. A Systematic Procedure for Land Use Land Cover Mapping Using Interpretable Machine Learning Model with Satellite Data;2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS);2023-12-10
5. Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization;Geocarto International;2023-07-27
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