Title :
Cloud Removal from Satellite Images Using Auto Associative Neural Network and Stationary Wevlet Transform
Author :
Sahoo, Tapasmini ; Patnaik, Suprava
Author_Institution :
Nat. Inst. of Technol. Rourkela, Rourkela
Abstract :
In this paper an image fusion technique is developed to remove clouds from satellite images. The proposed method involves an auto associative neural network based PCAT (principal component transform) and SWT (stationary wavelet transform) to remove clouds recursively which integrates complementary information to form a composite image from multitemporal images. Some evaluation measures are suggested and applied to compare our method with those of covariance based PCAT fusion method and WT-based one. The PSNR and the correlation coefficient value indicate that the performance of the proposed method is better than others. It also enhances the visual effect.
Keywords :
correlation methods; image fusion; neural nets; principal component analysis; wavelet transforms; PCAT fusion method; auto associative neural network; cloud removal; correlation coefficient value; image fusion technique; multitemporal images; principal component transform; satellite images; stationary wavelet transform; Clouds; Data mining; Discrete wavelet transforms; Image analysis; Image fusion; Neural networks; PSNR; Pixel; Satellites; Wavelet transforms;
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
DOI :
10.1109/ICETET.2008.99