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commit 9498cf23ddf373f22c6425cd8e0b358e98954da9
Author: Pieter Kempeneers <kempe...@gmail.com>
Date: Wed Nov 19 12:34:27 2014 +0100
documentation for start and end bands in svm and ann
---
doc/description_pkann.dox | 2 +-
doc/description_pkfsann.dox | 15 +++++++++++++++
doc/description_pkfssvm.dox | 4 ++--
doc/description_pksvm.dox | 2 +-
4 files changed, 19 insertions(+), 4 deletions(-)
diff --git a/doc/description_pkann.dox b/doc/description_pkann.dox
index 4727397..29acd4d 100644
--- a/doc/description_pkann.dox
+++ b/doc/description_pkann.dox
@@ -7,7 +7,7 @@
Options: [-tln layer]* [-c name -r value]* [-of GDALformat|-f OGRformat]
[-co NAME=VALUE]* [-ct filename] [-label attribute] [-prior value]* [--nn
number]* [-m filename [-msknodata value]*] [-nodata value]
Advanced options:
- [-b band] [-bs band] [-be band] [-bal size]* [-min] [-bag value] [-bs
value] [-comb rule] [-cb filename] [-prob filename] [-pim priorimage] [--offset
value] [--scale value] [--connection 0|1] [-w weights]* [--learning rate]
[--maxit number]
+ [-b band] [-s band] [-e band] [-bal size]* [-min] [-bag value] [-bs
value] [-comb rule] [-cb filename] [-prob filename] [-pim priorimage] [--offset
value] [--scale value] [--connection 0|1] [-w weights]* [--learning rate]
[--maxit number]
</code>
\section pkann_description Description
diff --git a/doc/description_pkfsann.dox b/doc/description_pkfsann.dox
index e69de29..8992fff 100644
--- a/doc/description_pkfsann.dox
+++ b/doc/description_pkfsann.dox
@@ -0,0 +1,15 @@
+## SYNOPSIS
+
+<code>
+ Usage: pkfsann -t training -n number
+
+ Options:
+
+ Advanced options:
+</code>
+
+\section pkfsann_description Description
+
+Classification problems dealing with high dimensional input data can be
challenging due to the Hughes phenomenon. Hyperspectral data, for instance, can
have hundreds of spectral bands and require special attention when being
classified. In particular when limited training data are available, the
classification of such data can be problematic without reducing the dimension.
+
+The utility pkfsann implements a number of feature selection techniques, among
which a sequential floating forward search (SFFS). Also consider the SVM
classifier implemented in pksvm, which has been shown to be more robust to this
type of problem than others.
diff --git a/doc/description_pkfssvm.dox b/doc/description_pkfssvm.dox
index bf8f49d..59be646 100644
--- a/doc/description_pkfssvm.dox
+++ b/doc/description_pkfssvm.dox
@@ -1,9 +1,9 @@
## SYNOPSIS
<code>
- Usage: pkfssvm -t training
+ Usage: pkfssvm -t training -n number
- Options: [-n number]
+ Options:
Advanced options:
</code>
diff --git a/doc/description_pksvm.dox b/doc/description_pksvm.dox
index e4d0ddd..72546ab 100644
--- a/doc/description_pksvm.dox
+++ b/doc/description_pksvm.dox
@@ -6,7 +6,7 @@
Options: [-tln layer]* [-c name -r value]* [-of GDALformat|-f OGRformat]
[-co NAME=VALUE]* [-ct filename] [-label attribute] [-prior value]* [-g gamma]
[-cc cost] [-m filename [-msknodata value]*] [-nodata value]
Advanced options:
- [-b band] [-bs band] [-be band] [-bal size]* [-min] [-bag value] [-bs
value] [-comb rule] [-cb filename] [-prob filename] [-pim priorimage] [--offset
value] [--scale value] [-svmt type] [-kt type] [-kd value] [-c0 value] [-nu
value] [-eloss value] [-cache value] [-etol value] [-shrink]
+ [-b band] [-s band] [-e band] [-bal size]* [-min] [-bag value] [-bs
value] [-comb rule] [-cb filename] [-prob filename] [-pim priorimage] [--offset
value] [--scale value] [-svmt type] [-kt type] [-kd value] [-c0 value] [-nu
value] [-eloss value] [-cache value] [-etol value] [-shrink]
</code>
\section pksvm_description Description
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