Authors: Sabyasachi Pattnaik, Pranab Kumar Das Gupta, Manojranjan Nayak
Addresses: Department of Information and Communication Technology, Fakir Mohan University, Vyasa Vihar, Balasore, Orissa – 756 019, India. ' Proof and Experimental Establishment, Defense Research and Development Organisation, Chandipur, Balasore, Orissa – 756025, India. ' Siksha 'O' Anusandhan, 224, Dharma Vihar, Khandagiri, Bhubaneswar, Orissa, India
Abstract: Satellite images of clouds play a significant role in predicting weather conditions. Frequency of image acquisition varies from one image per minute to one image per hour depending on the climatic conditions. These phenomena result in huge collection and creation of image data warehouse. Permanent storage and transmission of images is a challenging task. In this paper, data mining clustering technique along with Vector Quantisation (VQ) is applied to cluster and compress static colour image. Results are shown to demonstrate the findings both subjectively and visually.
Keywords: clustering; vector quantisation; VQ; data mining; image clusters; image compression; static colour images; satellite images; clouds; cloud images; weather conditions; weather forecasting; weather prediction.
International Journal of Information and Communication Technology, 2008 Vol.1 No.2, pp.131 - 147
Published online: 28 Jun 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article