NDLI: On the true multilook intensity distribution in SAR imagery

Content Provider	IEEE Xplore Digital Library
Author	Bruniquel, J. Lopes, A.
Copyright Year	1998
Description	Author affiliation: CESBIO, CNRS, Toulouse, France (Bruniquel, J.)
Abstract	The speckle intensity after the multilooking process is generally modelled as a gamma distributed random variable. This is definitely true only if the averaging is performed with uncorrelated samples of equal mean radiometry, each one distributed by a negative exponential function. If the samples still follow this negative exponential distribution, but are correlated or have different mean radiometry, the gamma distribution function is only an approximation of the true probability density function (pdf). J.W. Goodman derived the exact distribution resulting from an incoherent summation of correlated samples with unequal mean power. This exact probability density function was not used to describe the multilook speckle intensity up to now. In this communication, the authors show how to fit the true distribution, mainly when the gamma pdf is still used.
Starting Page	1
Ending Page	3
File Size	209686
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.702759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiometry Speckle Eigenvalues and eigenfunctions Gamma ray detectors Covariance matrix Random variables Distribution functions Probability density function Fluctuations Layout
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Supervised radiometric and textural segmentation of SAR images

Partially correlated K-distribution for multi-look polarimetric SAR imagery

Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis

Statistical Distribution And Texture In Multilook And Complex Sar Images

Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution

Texture Analysis in Polarimetric Sar Using the Covariance Matrix

Distribution of noncentral indefinite quadratic forms in complex normal variables

Matched direction detectors

K-distribution for multi-look processed polarimetric SAR imagery

On the true multilook intensity distribution in SAR imagery

Similar Documents

Supervised radiometric and textural segmentation of SAR images

Partially correlated K-distribution for multi-look polarimetric SAR imagery

Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis

Statistical Distribution And Texture In Multilook And Complex Sar Images

Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution

Texture Analysis in Polarimetric Sar Using the Covariance Matrix

Distribution of noncentral indefinite quadratic forms in complex normal variables

Matched direction detectors

K-distribution for multi-look processed polarimetric SAR imagery

On the true multilook intensity distribution in SAR imagery