A fuzzy-based contrast enhancement for high resolution satellite images

Chi Farn Chen, Hung Yu Chang, Li Yu Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Many conventional contrast enhancement techniques adopt a global approach to enhance the image. However, it is usually difficult to enhance all land cover classes appearing in the satellite image using these approaches, because local contrast information and details may be lost in the dark and bright areas. In this study, a three-stage algorithm based on fuzzy set theory is proposed to deal with the problem. First, the satellite image is transformed from gray-level space to membership space by fuzzy c-means clustering. Second, appropriate stretch model of each class is individually constructed based on corresponding memberships. Third, the image is transformed back to the gray-level space by merging stretched gray values of each class. Finally, the performance of the proposed scheme is evaluated qualitatively and quantitatively. The results show that the proposed method can successfully enhance satellite images and provide better contrast images for visual interpretation and visualization.

原文???core.languages.en_GB???
主出版物標題28th Asian Conference on Remote Sensing 2007, ACRS 2007
頁面2105-2110
頁數6
出版狀態已出版 - 2007
事件28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur, Malaysia
持續時間: 12 11月 200716 11月 2007

出版系列

名字28th Asian Conference on Remote Sensing 2007, ACRS 2007
3

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???28th Asian Conference on Remote Sensing 2007, ACRS 2007
國家/地區Malaysia
城市Kuala Lumpur
期間12/11/0716/11/07

指紋

深入研究「A fuzzy-based contrast enhancement for high resolution satellite images」主題。共同形成了獨特的指紋。

引用此