Coresident sensor fusion and compression using the wavelet transform
Conference
·
OSTI ID:211607
Imagery from coresident sensor platforms, such as unmanned aerial vehicles, can be combined using, multiresolution decomposition of the sensor images by means of the two-dimensional wavelet transform. The wavelet approach uses the combination of spatial/spectral information at multiple scales to create a fused image. This can be done in both an ad hoc or model-based approach. We compare results from commercial ``fusion`` software and the ad hoc, wavelet approach. Results show the wavelet approach outperforms the commercial algorithms and also supports efficient compression of the fused image.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 211607
- Report Number(s):
- SAND--95-2395C; CONF-9603135--1; ON: DE96006390
- Country of Publication:
- United States
- Language:
- English
Similar Records
Artifacts in wavelet image merging
Image merging and data fusion by means of the discrete two-dimensional wavelet transform
Dynamic Multi-Sensor Multi-Mission Optimal Planning Tool
Journal Article
·
Mon Jul 01 00:00:00 EDT 1996
· Optical Engineering
·
OSTI ID:285902
Image merging and data fusion by means of the discrete two-dimensional wavelet transform
Journal Article
·
Fri Sep 01 00:00:00 EDT 1995
· Journal of the Optical Society of America, Part A: Optics and Image Science
·
OSTI ID:249412
Dynamic Multi-Sensor Multi-Mission Optimal Planning Tool
Technical Report
·
Thu Sep 01 00:00:00 EDT 2016
·
OSTI ID:1562409