Referee 1 ********************************************
I have reviewed the paper C487: Real-time Multi-spectral Image Fusion. With
the caveat that the material only marginally overlaps my area of expertise,
I recommend that it be published essentially unchanged. It reports a
technique for and experience with real-time detection of image signals using
spectral imaging information about the signals. The paper is generally
clearly written, although it was not carefully proof-read; there are a
number of typographical and grammatical errors which the authors or an
editor should look for and correct.

Here are a few minor suggestions.

The authors misuse several technical terms. (1) In the abstract they say
"...with spectral resolution between 400 and 1000 nm." They mean spectral
coverage, not spectral resolution, which could refer to the bandwidth of the
filters employed but not to the total wavelength range sampled. (2) Starting
in the introduction and continuing in several places, they use the word
"spectra" when they really mean "images obtained at different wavelengths".
The set of these images is not a spectrum. A spectrum would be what is
produced by the dispersion of light by a prism, grating, or other optical
device, with all wavelengths represented continuously. They do not obtain
spectra, they obtain a set of medium spectral-resolution (probably, although
they do not state the bandwidth of their filters) images at different
wavelengths. Every use of the word "spectral" or "spectra" in the paper
should be examined with this in mind and appropriately corrected. (3) Just
before section 2 they use the word "lenses" when they mean "filters".

The discussion of Spectral Angle Classification should be improved. They use
the phrase "associated pixel vectors X and Y" with no definition of what X
and Y are. Is X the intensity in an image obtained at one wavelength and Y
the intensity at a second wavelength? Also, they do not mention having to
deal with the fact that the transmission of the individual filters must vary
from filter to filter and the sensitivity of the CCD detectors must vary as
a function of wavelength and pixel in the detector array. Do they calibrate
this or otherwise allow for it? Is this a significant source of
error/uncertainty?

End Referee 1 ********************************************

Referee 2 ***********************************************************************

Referee Recommendations. Please indicate overall recommendations here, and details 
in following sections. 
publish with minor changes.
 
An interesting and well-written paper.  The information is presented in a logical and 
clear manner.  The figures/diagrams/program fragments are clear and well-placed, 
aiding the 'reading experience' greatly.  
There are minor grammatical errors, but these do not detract from the quality of the 
paper too much. 

Presentation Changes 
End of abstract: Grammar: "for a specified cost, what system can should be ...." ?? 
Section 1, paragraph 1: [Li et al. 1995)]: remove the ) bracket
End of Section 1: Grammar: "Designer lenses can be built to suite the optical needs of 
specific applications can be fitted to the system": Remove 'can be' after 'lenses' ?
Beginning of  Section 2: "This strategy employ a manager" : change to employs?
Section 2 (just before Figure 3):  
".... subsequent image cubes in an multi-spectral image stream" :  change 'an' to 'a'
"..relatively independent, groups workers: one group ...."  should read 'groups of 
workers'?
End of Section 2:
"we follow the work Boynton": should this read '.... the work of Boynton'??
"The color matching function T is an n-by-3 matrix where each column....." Replace 
'an' with 'a', in front of 'n-by-3'.
Section 3, third sentence: 'different' : should be 'difference'
Section 3, second paragraph: "Figure 7 .....composite images generating using the ...." 
'generated'?
Paragraph after Figure 8:  " The weighting factor ....., and To can be obtained ...."  To 
requires subscript for the o.
The remainder of the sentence structure should perhaps be modified to: "..through a 
sequence of regression tests and least-square fitting.  The values are listed below"?

End Referee 2 ********************************************