Year: 2005
Type: article
Abstract: This paper reports results of integrating multiple index vectors and incorporating feedback in retrieving urban objects from high-resolution images. The integrated method combines an index vector derived from a semivariogram method and another index vector from a wavelet transform method. Results show that the integrated method notably improves retrieval precision over either method when used individually. Feedback on whether a retrieved image is relevant is subsequently incorporated into the retrieval. F-statistics is used to evaluate the ability of individual indices to identify relevant images and to weight these indices. The weighted index vector typically improves retrieval performance further by 10% to 15%.
Source: GIScience & Remote Sensing
Authors: Ling Bian, Jonghoon Lee
Institution: University at Buffalo, State University of New York
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2067492967