By Topic

Example-Based Retrieval of Alike Land-Cover Scenes From NLCD2006 Database

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jaroslaw Jasiewicz ; Geoecology and Geoinformation Institute, Adam Mickiewicz University, Poznan, Poland ; Tomasz F. Stepinski

Query-by-image-content (QBIC) tools are in demand in geospatial community because they enable exploration and mining of the rapidly increasing database of remotely sensed images. Accompanying the growth of the imagery database is the increase in the number of image-derived products, such as high-resolution large-spatial-extent maps of land cover/land use (LCLU). QBIC-like tools for exploration and mining of such products would significantly enhance their value. In this letter, we present a method for retrieval of alike scenes from a category-valued geospatial database of which an LCLU map is a particular example. Alikeness between the two scenes is tantamount to similarity between their spatial patterns of class labels. Our method works on the principle of query by example, its input is a reference scene, and its output is a similarity map indicating a degree of alikeness between a location on the map and the reference. The two core components of the method are as follows: scene signature—an encapsulation of the scene pattern by means of probability distribution of class labels and the sizes of the patches that they form, and scene similarity–a mutual-information-based function that assigns a level of similarity between any two scenes based on their signatures. The method is described in detail and applied to the National Land Cover Dataset 2006. Two examples of queries on this data set are presented and discussed. The applicability of the method to other data sets is discussed.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:10 ,  Issue: 1 )