AUXIL\
mad_iter5.pro
top mad_iter5
result = mad_iter5(fid1, fid2, dims1, dims2, pos1, pos2, m_fid [, niter=niter] [, rho=rho] [, sigma=sigma] [, A=A], B=B [, means1=means1], means2=means2 [, verbose=verbose] [, lam=lam])
Function for Iteratively Re-weighted Multivariate Alteration Detection (IR-MAD):
Nielsen, A. A. (2007). The regularized
iteratively reweighted MAD method for change
detection in multi- and hyperspectral data.
IEEE Transactions on Image Processing,
16(2), 463–478.
Parameters
- fid1 in required
image file IDs
- fid2
- dims1 in required
image spatial subsets
- dims2
- pos1 in required
image spectral subsets
- pos2
- m_fid in
mask band ID
Keywords
- niter in optional
max number of iterations, (default is 50)
- rho out optional
canonical correlations in decreasing order
- sigma out optional
standard deviations of MAD variates in increasing order
- A out optional
arrays of transformation eigenvectors in columns, smallest correlation first
- B
- means1 out optional
weighted mean values, row-replicated
- means2
- verbose in optional
print intermediate results to log (default 0);
- lam in optional
length penalization parameter (default 0.0)
Author information
- Author:
Mort Canty (2012)
Other attributes
- Uses:
ENVI:, ,
, CPM_DEFINE:, ,GEN_EIGENPROBLEM:COYOTE
File attributes
| Modification date: | Fri May 17 08:19:27 2013 |
| Lines: | 239 |
| Docformat: | rst rst |