Cluster-Space Representation for Hyperspectral Data Classification

IEEE Transactions on Geoscience and Remote Sensing - United States
doi 10.1109/tgrs.2002.1000319
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Hyperspectral Image Classification Using Cluster Data Structure

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2017English

A Classification Algorithm for Hyperspectral Data Based on Synergetics Theory

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2012English

Spherical Nearest Neighbor Classification: Application to Hyperspectral Data

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Revisiting Existing Classification Approaches for Building Materials Based on Hyperspectral Data

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2017English

Scale-Space Representation and Classification of 3D Models

Journal of Computing and Information Science in Engineering
Computer GraphicsManufacturing EngineeringComputer Science ApplicationsComputer-Aided DesignIndustrialSoftware
2003English

Hyperspectral Image Classification

2020English

Residue Cluster Classes: A Unified Protein Representation for Efficient Structural and Functional Classification

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2020English

Sparse Representation for Classification of Tumors Using Gene Expression Data

Journal of Biomedicine and Biotechnology
2009English

Object-Based Classification of Hyperspectral Data Using Random Forest Algorithm

Geo-Spatial Information Science
DevelopmentPlanningComputers in Earth SciencesGeography
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy