The query by image content (QBIC) system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principles of data mining
Deriving texture feature set for content-based retrieval of satellite image database
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Content Based Image Retrieval Using Interest Points and Texture Features
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Shape Association Based Retrieval of Infrared Satellite Images
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Local image representations using pruned salient points with applications to CBIR
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Integrating gazetteers and remote sensed imagery
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Geographic image retrieval using interest point descriptors
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
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We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rotation invariant descriptors extracted from salient image locations perform compared to proven global texture features for similarity retrieval. Qualitative results using a geographic image retrieval application and quantitative results using an extensive ground truth dataset show that interest point descriptors support effective similarity retrieval in large collections of remote sensed imagery.