Bayesian classifier applications of airborne hyperspectral imagery processing for forested areas

Author:

Kozoderov Vladimir,Kondranin Timofei,Dmitriev Egor,Kamentsev Vladimir

Funder

Federal Target Program “Research and Developments of Priority Directions in Science and Technology Complex of Russia on 2014-2020”

Russian Fund for Basic Research

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference33 articles.

1. Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem;Chi;Adv. Space Res.,2008

2. Markov random field texture models;Cross;IEEE Trans. Pattern Anal. Mach. Intell.,1983

3. Remote Sensing of Soils and Vegetation in the USSR;Curran,1990

4. The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas;Dalponte;Remote Sens. Environ.,2009

5. A Mathematical Mystery Tour: Discovering the Truth and Beauty of the Cosmos;Dewdney,2001

Cited by 10 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 Key Information Recognition System Based on Bayesian Classification;2021 3rd International Conference on Software Engineering and Development (ICSED);2021-11-19

2. Assessment of mining activities on tree species and diversity in hilltop mining areas using Hyperion and Landsat data;Environmental Science and Pollution Research;2020-07-27

3. Recognition of species composition and age classes of forest stands using spectral and textural features using high resolution satellite images;XLIII ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration;2019

4. Evaluation of the Species Composition and the Biological Productivity of Forests Based on Remote Sensing Data with High Spatial and Spectral Resolution;Izvestiya, Atmospheric and Oceanic Physics;2018-12

5. Models of Pattern Recognition and Forest State Estimation Based on Hyperspectral Remote Sensing Data;Izvestiya, Atmospheric and Oceanic Physics;2018-12

同舟云学术

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