SPECTRUM analysis of multispectral imagery in conjunction with wavelet/KLT data compression

Conference · Wed Dec 01 00:00:00 EST 1993

OSTI ID:10107006

Bradley, J N; Brislawn, C M

The data analysis program, SPECTRUM, is used for fusion, visualization, and classification of multi-spectral imagery. The raw data used in this study is Landsat Thematic Mapper (TM) 7-channel imagery, with 8 bits of dynamic range per channel. To facilitate data transmission and storage, a compression algorithm is proposed based on spatial wavelet transform coding and KLT decomposition of interchannel spectral vectors, followed by adaptive optimal multiband scalar quantization. The performance of SPECTRUM clustering and visualization is evaluated on compressed multispectral data. 8-bit visualizations of 56-bit data show little visible distortion at 50:1 compression and graceful degradation at higher compression ratios. Two TM images were processed in this experiment: a 1024 x 1024-pixel scene of the region surrounding the Chernobyl power plant, taken a few months before the reactor malfunction, and a 2048 x 2048 image of Moscow and surrounding countryside.

• Research Organization: Los Alamos National Lab., NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 10107006
• Report Number(s): LA-UR-93-3951; CONF-9311135-2; ON: DE94003961; TRN: AHC29401%%1
• Resource Relation: Conference: Institute of Electrical and Electronic Engineers (IEEE) asilomar conference on signals, systems, and computers,Pacific Grove, CA (United States),1-3 Nov 1993; Other Information: PBD: [1993]
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
54 ENVIRONMENTAL SCIENCES
MULTISPECTRAL PHOTOGRAPHY
DATA PROCESSING
UKRAINE
RUSSIAN FEDERATION
LANDSAT SATELLITES
REMOTE SENSING
CHERNOBYLSK-4 REACTOR
DATA ANALYSIS
S CODES
COMPUTER CALCULATIONS
ALGORITHMS
PERFORMANCE
580000
990200
540250
GEOSCIENCES
MATHEMATICS AND COMPUTERS
SITE RESOURCE AND USE STUDIES