New effective spectral matching measures for hyperspectral data analysis

Author:

Kumar Chandan1ORCID,Chatterjee Snehamoy1ORCID,Oommen Thomas1ORCID,Guha Arindam2ORCID

Affiliation:

1. Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, MI, United States

2. National Remote Sensing Centre, Indian Space Research Organization, Hyderabad, India

Funder

National Aeronautics and Space Administration

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference64 articles.

1. Performance evaluation of hyperspectral classification algorithms on AVIRIS mineral data

2. Measurement and Correlation of Solid Drugs Solubility in Supercritical Systems

3. Distance Similarity as a CBR Technique for Early Detection of Breast Cancer: An Egyptian Case Study

4. Baum, K., E. Schreyer, S. Totterman, J. Farber, J. Tamez-Peña, and P. González (2010). Application of the Dice Similarity Coefficient (DSC) for Failure Detection of a Fully-automated Atlas Based Knee Mri Segmentation Method. ISMRM Annual Meeting,

5. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel

Cited by 8 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. Reflectance Spectroscopy in Exploration: Status, Progress and Future in India;Journal of the Geological Society of India;2023-07-06

2. The effects of changing laboratory illumination zenith angle on spectral feature parameters and mineral classification;International Journal of Applied Earth Observation and Geoinformation;2023-02

3. A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid;IEEE Transactions on Instrumentation and Measurement;2023

4. ATGP based Change Detection in Hyperspectral Images;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

5. Gradient Correlation Incorporated Similarity Measures in Matching Spectral Signatures;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

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