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ENVI Feature
Extraction Module
User’s Guide
Feature Extraction Module Version 4.5
April, 2008 Edition
Copyright © ITT Visual Information Solutions
All Rights Reserved
20FX45DOC
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Acknowledgments
ENVI
®
and IDL
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™
, ION
Script
™
, ION Java
™
, and ENVI
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™
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, ArcGIS
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, ArcView
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are registered trademarks of ESRI.
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CDF Library. Copyright © 2002, National Space Science Data Center, NASA/Goddard Space Flight Center.
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This software is based in part on the work of the Independent JPEG Group.
Portions of this software are copyrighted by DataDirect Technologies, © 1991-2003.
BandMax
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. Copyright © 2003, The Galileo Group Inc.
Portions of this computer program are copyright © 1995-1999, LizardTech, Inc. All rights reserved. MrSID is protected by U.S. Patent No. 5,710,835. Foreign Patents Pending.
Portions of this software were developed using Unisearch’s Kakadu software, for which ITT has a commercial license. Kakadu Software. Copyright © 2001. The University of New
South Wales, UNSW, Sydney NSW 2052, Australia, and Unisearch Ltd, Australia.
This product includes software developed by the Apache Software Foundation (
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Support Vector Machine (SVM) is based on the LIBSVM library written by Chih-Chung Chang and Chih-Jen Lin (
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Contents
Chapter 1
Introduction
....................................................................................................... 7
Introduction to ENVI Feature Extraction
....................................................................................... 8
The Feature Extraction Workflow
.............................................................................. 9
Working with Multiple Layers
.................................................................................................. 9
Preprocessing
.......................................................................................................................... 10
Starting ENVI Feature Extraction
.......................................................................................... 10
Installing and Licensing ENVI Feature Extraction
...................................................................... 12
Contacting ITT Visual Information Solutions
.............................................................................. 13
Chapter 2
Finding Objects
............................................................................................... 15
Segmenting Images
....................................................................................................................... 16
Merging Segments
........................................................................................................................ 18
Background
............................................................................................................................. 19
Refining Segments
........................................................................................................................ 20
Setting Thresholds
................................................................................................................... 20
Computing Attributes
................................................................................................................... 22
Spatial Attributes
.................................................................................................................... 22
Spectral Attributes
.................................................................................................................. 24
Texture Attributes
.................................................................................................................. 25
Color Space and Band Ratio Attributes
................................................................................. 25
Feature Extraction Module User’s Guide
3
4
Chapter 3
Extracting Features
......................................................................................... 29
Classifying or Exporting
............................................................................................................... 30
Exporting Vectors
.................................................................................................................. 30
Supervised Classification
............................................................................................................. 31
Defining Training Data
.......................................................................................................... 31
Saving and Restoring Training Data
...................................................................................... 33
Previewing Supervised Classification Results
....................................................................... 35
Selecting Attributes for Classification (Advanced)
............................................................... 35
Selecting a Supervised Classification Method (Advanced)
................................................... 36
Rule-Based Classification
............................................................................................................. 39
Fuzzy Logic
............................................................................................................................ 40
Building Rules
........................................................................................................................ 40
Selecting Attributes
................................................................................................................ 40
Editing Feature Properties
...................................................................................................... 42
Editing Rule Properties
.......................................................................................................... 42
Managing Features and Rules
................................................................................................ 43
Advanced Settings
.................................................................................................................. 43
Previewing Rule-Based Classification Results
....................................................................... 44
Exporting Classification Results
.................................................................................................. 46
Smoothing Vectors
.................................................................................................................. 46
Exporting Classification Images
............................................................................................. 48
Understanding Reports and Statistics
........................................................................................... 50
Saving Reports
........................................................................................................................ 50
Modifying Export Options
...................................................................................................... 51
Chapter 4
Preferences
...................................................................................................... 53
ENVI Feature Extraction Preferences
.......................................................................................... 54
Chapter 5
Tips and Tricks
................................................................................................ 57
General Tips and Tricks
............................................................................................................... 58
Working with Multiple Layers
................................................................................................ 58
Working with Preview Portals
................................................................................................ 58
Working with Slider Bars
....................................................................................................... 58
Find Objects Task
......................................................................................................................... 59
Segmenting Images
................................................................................................................. 59
Merging Segments
.................................................................................................................. 59
Refining Segments
.................................................................................................................. 59
Computing Attributes
.............................................................................................................. 59
Extract Features Task
................................................................................................................... 61
Supervised Classification
........................................................................................................ 61
Rule-Based Classification
....................................................................................................... 62
Contents
Feature Extraction Module User’s Guide
5
Exporting Classification Results
............................................................................................. 62
Appendix A
Glossary
........................................................................................................... 63
Index
................................................................................................................. 65
Feature Extraction Module User’s Guide
Contents
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