Title :
Classification of DCT-based filtered multichannel images
Author :
Fevralev, Dmitriy ; Lukin, Vladimir ; Krivenko, Sergey ; Ponomarenko, Nikolay ; Kurekin, Andriy
Author_Institution :
Dept of Receivers, Transmitters & Signal Process., Nat. Aerosp. Univ., Kharkov, Ukraine
Abstract :
Multichannel remote sensing (MRS) data can be passed to customers in different forms: original (raw), pre-filtered, compressed, classified. In this paper, we analyze how pre-filtering of original images can influence classification accuracy of three-channel images using three channels of real life Landsat TM data with simulated noise.
Keywords :
discrete cosine transforms; filtering theory; image classification; remote sensing; DCT-based filtering; filtered multichannel images; image classification; multichannel remote sensing data; three-channel images; Filtering; Hyperspectral imaging; Image analysis; Neural networks; PSNR; Remote monitoring; Remote sensing; Satellites; Support vector machine classification; Support vector machines; Filtering of multichannel images; classification;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-966-553-875-2
Electronic_ISBN :
978-966-553-901-8
