Resolution analysis for imaging with noise
Creators
- 1. Laboratoire de Probabilités et Modèles Aléatoires and Laboratoire Jacques-Louis Lions, Université Paris VII, 2 Place Jussieu, 75251 Paris Cedex 5 (France)
- 2. Department of Mathematics, Stanford University, Stanford, CA 94305 (United States)
Description
We analyze the resolution of imaging functionals that migrate the cross-correlation matrices of passive sensor arrays. These matrices are obtained by cross-correlating signals emitted by ambient noise sources and recorded by the passive sensor array. They contain information about reflectors in the surrounding medium. Therefore, travel time or Kirchhoff migration of the cross-correlations can, under favorable circumstances, produce images of such reflectors. However, migration should be carried out appropriately depending on the type of illumination provided by the ambient noise sources. We present here a detailed resolution analysis of these functionals in a homogeneous medium. Resolution depends on the sensor array diameter, the distance from the array to the reflector and the central frequency, as is the case in active array imaging. When imaging with passive sensor arrays and ambient noise, resolution also depends on the space and time coherence of the noise sources because it determines an effective noise bandwidth
Availability note (English)
Available from http://dx.doi.org/10.1088/0266-5611/26/7/074001Additional details
Identifiers
- DOI
- 10.1088/0266-5611/26/7/074001;
- PII
- S0266-5611(10)37089-4;
Publishing Information
- Journal Title
- Inverse Problems
- Journal Volume
- 26
- Journal Issue
- 7
- Journal Page Range
- [22 p.]
- ISSN
- 0266-5611
- CODEN
- INVPET
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45034669
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- CORRELATIONS; DISTANCE; FUNCTIONALS; ILLUMINANCE; IMAGE PROCESSING; IMAGES; MATRICES; NOISE; RESOLUTION; SENSORS
- Descriptors DEC
- FUNCTIONS; PROCESSING