The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys (CSUR)
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theoretical study of statistical fractal model with applications to mineral resource prediction
Computers & Geosciences
Design guidelines for a Content-Based Image Retrieval color-selection interface
Dutch HCI '04 Proceedings of the conference on Dutch directions in HCI
Attention-driven image interpretation with application to image retrieval
Pattern Recognition
Visual guided navigation for image retrieval
Pattern Recognition
A genetic programming framework for content-based image retrieval
Pattern Recognition
RISE-SIMR: a robust image search engine for satellite image matching and retrieval
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Large-Scale geospatial indexing for image-based retrieval and analysis
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Annotating data to support decision-making: a case study
Proceedings of the 6th Workshop on Geographic Information Retrieval
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Due to the advances in imaging and storage technologies, the number and size of images continue to grow at a rapid pace. This problem is particularly acute in the case of remotely sensed imagery. The continuous stream of sensory data from satellites poses major challenges in storage and retrieval of the satellite imagery. In the mean time, the ubiquity of Internet has resulted into an ever-growing population of users searching for various forms of information. In this paper, we describe the search engine SIMR-Satellite Image Matching and Retrieval system. SIMR provides an efficient means to match remotely sensed imagery. It computes spectral and spatial attributes of the images using a hierarchical representation. A unique aspect of our approach is the coupling of second-level spatial autocorrelation with quad tree structure. The efficiency of the web-based SIMR has been evaluated using a database of images with known characteristics: cities, towns, airports, lakes, and mountains. Results show that the integrated signature can be an effective basis for accurately searching databases of satellite based imagery.