Variance gain index for detection of boundary points in discrete one-dimensional data

$59.35 plus tax (Refund Policy)

Buy Article:


The authors propose a new algorithm for assisting the visual interpretation of remotely sensed images, in which a new statistical index, called the variance gain index, is used to extract boundary points from one-dimensional profile data. The index is described, and experimental examples are used to examine the feasibility of the method. This method is demonstrated to provide stable and accurate detection of boundary points in simulated one-dimensional data comprised of two sections.

Document Type: Research Article


Affiliations: 1: Department of Environmental Information, Faculty of Informatics, Tokyo University of Information Sciences, 1200-2, Yatoh-cho, Wakaba-ku, Chiba-city 265-8501, Japan; e-mail: 2: Center for Spatial Information Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 135-8508, Japan

Publication date: January 1, 2003

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect 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