Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Ayom Widipaminto
Pusat Pengembangan Teknologi Penginderaan Jauh
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGEMBANGAN TEKNIK KOMPRESI HYBRID UNTUK DATA PENGINDERAAN JAUH MODIS Ayom Widipaminto
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 5, (2008)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.597 KB)

Abstract

Development on Remote Sensing field requires an optimal data compression technique to result high compression ratio but prevent data quality, so the data still be accepted on application remote sensing. One of the newest compression technique is hybrid compression that combine the reduction spectral redundancy and the reduction spatial redundancy. On this research will propose the improvement of hybrid technique compression for multiband MODIS data which developed by Yuan-Xiang Li, et.al (IEEE 2007). The improvement is by selecting better reference band for band prediction, skip the prediction band for unpredictable band and propose to use higher decomposition wavelet level will get better the compression performance. The Simulation result is the linier interband prediction with skip band will get the high value of PSNR ( 40 dB) and high compression ratio (80). The result of the compression will be used for remote sensing application of the MODIS data, specially for global earth observation. Key word: Compression, Hybrid, Prediction, Image,band, Wavelet, MODIS, PSNR, Symetry co-histogram
Co-Authors