Skip to main content

Study on optimization‐based layered classification for separation of wetlands

Buy Article:

$60.90 plus tax (Refund Policy)


The classification and dynamics monitoring of wetlands using remotely sensed data is a complicated, time‐consuming process involving high costs, and the accuracy varies depending on the techniques used for image processing and analysis, and the time and costs required for training, etc. This paper presents an optimization‐based layered classification method for the classification and dynamics monitoring of wetlands based on a decision procedure of multiple objectives. Four driven factors including techniques to be used, classification accuracy, and the time and cost needed for the classification, were selected as the indicators of criteria in optimization of the layered classification. This method was applied to Thematic Mapper (TM) image classification of the wetlands in Minjiang River estuary and led to the overall correct percentage of 85.13% for seven categories of the wetlands.

Document Type: Research Article


Affiliations: Key Laboratory of Data Mining and Information Sharing of the Ministry of Education, Spatial Information Research Centre of Fujian Province, Fuzhou University, Fuzhou, Fujian, China

Publication date: 2006-04-20

More about this publication?
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more