[OSGeo-Discuss] OSGeo ISODATA implementation?
Nikos Alexandris
nik at nikosalexandris.net
Sat Feb 23 07:54:29 PST 2013
Hi list!
I am searching for an OSGeo implementation (at the very least simply FOSS will
do) of the ISODATA clustering algorithm [*]. I want to avoid using a
commercial tool. Currently I have reviewed the following "options":
GRASS-GIS
GRASS has a modified k-means implementation in its <i.cluster> module [1].
However, it requires at least two raster maps to run. The ISODATA algorithm
is known to run even on a single raster map.
OpenEV
The "old" (but very good) OpenEV (is convenient since it reads directly grass
raster maps and) has an integrated ISODATA-based classification tool [2].
While testing with single Landsat bands ranging [0,255] and and NDVI image
[-0.1,1.0], it get stuck somehow after some iterations complaining bout
"ZeroDivisionError: float division". Don't know if there any restrictions
concerning the input data format.
OrfeoToolBox
OrfeoToolBox has also a clustering algorithm [3] but I am unsure that it is an
implementation of the ISODATA. Can't trace a clean documentation about it.
It seems as yet another k-means based algorithm.
Fast ISODATA implementation (by David Mount)
(Not tested yet!)
Any other candidates?
Warmest regards, Nikos
--
[*] ISODATA:
a) <http://www.dtic.mil/cgi-
bin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=AD0699616>
b)
<http://en.wikipedia.org/wiki/Multispectral_pattern_recognition#ISODATA_method>
[1] <http://grass.osgeo.org/grass64/manuals/i.cluster.html>
[2] <http://openev.sourceforge.net/>
[ Sometimes it fails giving following message:
--%<---
Traceback (most recent call last):
File "/geo/osgeo/binaries/FWTools-2.0.6/lib/python2.2/site-packages/gtk.py",
line 125, in __call__
ret = apply(self.func, a)
File "./../tools/isodata.py", line 529, in classify_cb
d /= d_tresh
ZeroDivisionError: float division
--->%-- ]
[3] Mean-shift clustering: <http://orfeo-
toolbox.org/CookBook/CookBooksu17.html#x31-430002.4.4> and
<http://gracilis.carleton.ca/CUOSGwiki/index.php/Image_Classification_Tutorial_using_Orfeo_Toolbox#Clustering>
[4] <http://www.cs.umd.edu/~mount/Projects/ISODATA/>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: signature.asc
Type: application/pgp-signature
Size: 230 bytes
Desc: This is a digitally signed message part.
URL: <http://lists.osgeo.org/pipermail/discuss/attachments/20130223/082adc2c/attachment.sig>
More information about the Discuss
mailing list