Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping

• Main Authors: Kanniah, Kasturi Devi, Ng, Su Wai, Lau, Alvin Meng Shin, Rasib, Abd. Wahid
• Format: Article
• Language: English
• Published: 2007
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/4858/1/mangrove_paper_kasturi.pdf; http://eprints.utm.my/id/eprint/4858/
• Institution: Universiti Teknologi Malaysia

High spatial resolution sensors such as IKONOS and QuickBird, are expected to classify mangrove species more accurately than coarse spatial resolution satellite images. Conventional per-pixel classification techniques could not improve the classification accuracy when such high-resolution images are...