Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 21, 2013IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification

View Full Paper
Ask AI
Bookmark
Share

Authors

SNSaeid NiazmardiUnited States Geological SurveySHSaeid HomayouniInstitut National de la Recherche ScientifiqueASAbdolreza SafariUniversity of Tehran

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Niazmardi et al. (2013) studied this question.

synapsesocial.com/papers/6a6d5fe531a3df824326ff83https://doi.org/10.1109/jstars.2013.2244851
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Remote sensing image classification based on improved fuzzy c-means2008 · 19 citations
  2. 2A Semilabeled-Sample-Driven Bagging Technique for Ill-Posed Classification Problems2005 · 58 citations
  3. 3Unsupervised classification of hyperspectral data: an ICA mixture model based approach2004 · 87 citations
  4. 4Classification of hyperspectral remote sensing images with support vector machines2004 · 4,440 citations
  5. 5Imaging Spectrometry for Earth Remote Sensing1985 · 1,945 citations