Accession Number:

ADA341363

Title:

Multiresolution Methods in Systems, Signals and Images

Descriptive Note:

Final rept. 1 Dec 94-28 Feb 98

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS

Personal Author(s):

Report Date:

1998-03-01

Pagination or Media Count:

21.0

Abstract:

In this final report we summarize our research accomplishments under this grant a research on our multiresolution estimation methodology to solve a variety of difficult image and large scale data assimilation problems and to extend the theoretical domain of applicability of our methodology considerably to allow for the fusion of multisensor data b the development of several new methods involving synthetic aperture radar SAR data including multiresolution segmentation and compression algorithms and an estimation-theoretic approach to moving target SAR image formation c the development of a new nonlinear multiresolution image evolution algorithm that produces extremely robust image segmentations d the development of a new variation on so-called matching pursuit methods with application to robust and stable feature extraction and recognition of objects and e the development of hierarchical and wavelet-based methods for the design of joint detection algorithms for multiple access communication in the presence of highly correlated user signals. In addition a number of significant transitions and interactions resulting from our work are described.

Subject Categories:

  • Cybernetics
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE