A Markov random field-based approach to decision-level fusion for remote sensing image classification

Ryuei Nishii

研究成果: Contribution to journalArticle査読

33 被引用数 (Scopus)

抄録

A method is proposed for the enhancement of the quality of a classification result by fusing this result with remote sensing images, based on a Markov random field approach. The classification accuracy is estimated by a modified posterior probability, which is used for choosing the optimal classification result. The procedure is applied to a benchmark dataset for discrimination provided by the IEEE Geoscience and Remote Sensing Society Data Fusion Committee, and it shows an excellent performance. The classified result won the competition of the data fusion contest 2001 held by the same committee.

本文言語英語
ページ(範囲)2316-2319
ページ数4
ジャーナルIEEE Transactions on Geoscience and Remote Sensing
41
10 PART I
DOI
出版ステータス出版済み - 10 1 2003

All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学
  • 地球惑星科学(全般)

フィンガープリント

「A Markov random field-based approach to decision-level fusion for remote sensing image classification」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル