Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Density-Based Multiscale Data Condensation
IEEE Transactions on Pattern Analysis and Machine Intelligence
STING: A Statistical Information Grid Approach to Spatial Data Mining
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
On Combining Region-Growing with Non-Parametric Clustering for Color Image Segmentation
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
Segmentation of multispectral high-resolution satellite imagery using log Gabor filters
International Journal of Remote Sensing - Geoinformatics 2007
SATCLUS: an effective clustering technique for remotely sensed images
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
DGCL: an efficient density and grid based clustering algorithm for large spatial database
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
An approach to find embedded clusters using density based techniques
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
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High resolution and high dimensional satellite images cause problems for clustering methods due to clusters of different sizes, shapes and densities as they contain huge amount of data. Due to this reason, most algorithms for clustering satellite data sacrifice the correctness of their results for fast processing time. The processing time may be greatly influenced by the use of grids. In this paper, we propose a grid density based clustering method for detecting the clusters present in satellite images. The clustering is based on both the band values as well as the texture features in the satellite images. Experimental results are presented to establish the efficiency of this technique in detecting the clusters present in satellite images.