Synthetic Aperture Radar Image Compression By Magesh Valliappan - - PowerPoint PPT Presentation
Synthetic Aperture Radar Image Compression By Magesh Valliappan Guner Arslan 1 Synthetic Aperture Radar (SAR) SAR ? Active imaging system Working in the frequency range 1-10 GHz All-weather system High resolution compared
1
2
– Active imaging system – Working in the frequency range 1-10 GHz – All-weather system – High resolution compared to real aperture radar
– Agriculture, ecology, geology, oceanography,
– High volume of data – Speckle noise – More information in high frequencies than optical
3
– Discrete Cosine Transform – Fast implementation – Blocking artifacts
– Discrete Wavelet Transform – Good visual quality – Ringing effect for high compression
ratios
4
– Mean Squared Error (MSE) – Signal to Noise Ratio (SNR) – Peak Signal to Noise Ratio (PSNR)
– Weighted Signal to Noise Ratio (WSNR) – Linear Distortion Quality Measure – Correlation of Edge Information
5
6
– compute the Noise Image – estimate the Distortion Transfer Function (DTF)
– Model assumes uncorrelated additive noise – Variance of the estimate
Noise Image SAR Image Compression De-compression
7
8
JPEG SPIHT Original
9
(dB)
10
11
12