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Contents
Contents
InfoPACK User Guide
Version 1.0
Contents
Introduction
Installing and Running
InfoPACK
Installing
InfoPACK
Running
InfoPACK
The Licence
The Software
Your Rights as Purchaser
Your Licence
Warranty
How to Contact Us
Getting Help
Bug Reports
Other Addresses
Acknowledgements
Synthetic Aperture Radar Images
Interpretation of SAR Images
The Formation of SAR Images
Frequency Bands
Polarisation
The Number of Looks in an Image
The Number of Looks and
InfoPACK
Multi-dimensional Images
Correlated Images
Reducing the Image Size
Sources of SAR Data
Image File Formats
The
InfoSAR
format
Built-In File Conversion Facilities
File Import: Conversion to
NetCDF
Format
File Export
General File Formats
Using a
.aux
file
Using a virtual file
File Import Utility
Image Processing with
InfoPACK
Segmentation
The
segment
routine
An Example Segmentation
The
merge
routine
The
texseg
routine
The
colseg
routine
Classification
The
classify
routine
The
mask_stats
routine
Area Change Detection
The
change_detection
routine
The
change_detection_position
routine
Detecting Edges
The
scanedge
routine
The
edge
routine
Speckle Reduction
The
despeckle
routine
The number of iterations
The looks measure parameter
Point Object Detection
The
cfar
routine
References
Bibliography
Using the InfoPACK GUI
Introduction
Starting The
InfoPACK
GUI
Windows
Unix/Linux
The Main
InfoPACK
Menus
The File Menu
Open Image
Import Image
Export Image
New Script
Open Script
New Console
Exit
The Tools Menu
Create New Image
Layer Operations
Extract Sub-Image
Histogram Image
Image Statistics
Information
The Image Menu
Segment
Texture Segment
Merge
Colseg
Classify
Change Detect
Filter
Despeckle
Edge
Threshold
Image Arithmetic
The OpenEV Image Viewer
Using the
InfoPACK
Shell Window
Colourisation
Indentation
Command History
Function Call Tips
Class Call Tips
Developing
InfoPACK
Scripts
The IDLE Integrated Development Environment
Case Studies
Segmentation and Classification of Intensity Images
Introduction
Comparison of classification methods
Conclusions
Segmentation and Classification of Multiple Intensity Images
Introduction
Comparison of classification methods
Conclusions
Change Detection between Intensity Images
Introduction
Comparison of classification methods
Change detection
Positional change detection
Conclusions
Temporal Signatures of Intensity Images
Introduction
Classification methods
Conclusions
Handling Correlated Images
Introduction
Correlation and Segmentation
Speckle correlation properties
Resampling to remove speckle correlations.
Resampling applied to the original intensity image
Segmentation: Conclusions
Correlated Images and Despeckling
Resampling to remove speckle correlations
Conclusions
An Example: Segmenting and Despeckling a Large Image
Segmentation
Despeckling
Conclusions
Segmentation and Classification of Polarimetric Data
Introduction
Segmentation performance
Comparison of classification methods
Conclusion
InfoPACK
High Level Routine Documentation
User Interface
Scripts and Functions
GIS Information
File I/O
Online Help
Common Parameters
Image dimensions
The Intensity Flag
Memory Management Options
Documentation Conventions
High Level Routines
segment
texseg
merge
colseg
edge
classify
change_detection
change_detection_position
despeckle
filter
filter_bt, filter_det, filter_enl, filter_gorder, filter_korder, filter_mean, filter_var
scanedge
cfar
Low Level and Utility Routine Documentation
Documentation Conventions
Image Manipulation Routines
add
between
decimate
divide
fill
fill_gammarand
fill_gaussrand
fill_unirand
log10
loge
magnify
median
multiply
scalar_add
scalar_divide
scalar_multiply
shrink
sqrt
square
subtract
threshold
File Handling Facilities
ascii2nc
extract
gdal_translate
gisload
gissave
insert
layer_combine
layer_split
load
makebitmap
nc2ascii
nc2raw
numload
raw2nc
save
totiff
Image Information Routines
gdalinfo
histogram
mask_stats
stats
InfoSAR
Conventions for
NetCDF
Dimensions
Variables
Attributes
Global Attributes
Variable Attributes
InfoSAR Ltd
