📌 ENVI 중급과정

[중급] Exploring ENVI

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"ENVI [중급] Exploring ENVI (2일: 12시간)" 

1. Introduction to ENVI Zoom

• Use ENVI Zoom to display a multispectral image
• Enhance, zoom, pan, and rotate the image
• create a Portal and compare it to the original scene using blend, flicker, and swipe tools
• Use Chip from display to take a screen capture of the image and save it to JPEG format

2. Reading Raster Data

• How to read vitually any type of raster image data into ENVI
• What ENVI standard image file means
• What ENVI header files are and how to edit them
• How to query image data from a display group
• Useful file management techniques

3. Image Display Concept

• What contrast stretching maens and why it is important
• How to control the contrast stretch of an image
• How to apply color to gray scale images
• The difference between color tables and density slicing
• How to animate a series of images

4. Example Application: Vegitation Analysis

• Examine the relationship between topography and the abundance of green vegetation in the Boulder, CO, area
• Learn how and why to make ENVI meta files
• Calibrate and atmospherically correct Landsat TM data
• Use the topographic modeling tools to derive information from a DEM
• Geometrically correct Landsat TM data using image to image registration
• Learn how to link and dynamically overlay multiple images

5. Vector Layers

• Learn the difference between vector and raster data
• Import ArcView shapefiles
• Learn to manage open vector data with the Available Vectors List
• Overlay vector layers onto imagery
• Query vector data and attributes
• Digitize new vectors and make new attribute table entries
• Convert vector coverages into regions of interest (ROIs)
• Generate contour lines from a DEM and overlay these onto an image
• Overlay vector layers onto a 3D SurfaceView of an image

6. Image to Map Registration

• Build a warp model and register a SPOT scene to a map projection
• Extract ground control points (GCPs) from a vector layer
• Use the RMS error values to fine tune and adjust your warp model
• Use vector overlays to assess the accuracy of the registration results
• Use included geographic data to register data

7. Regions of Interest and Classification Techniques

• Make 2D scatter plots of image data
• Learn about regions of interest (ROIs)
• Create ROIs from 2D scatter plots and from drawing on an image
• Use ROIs to classify an image
• Modify a classification result using the Rule Classifier
• Evaluate classification results using statistics and class overlays

8. Principal Components Analysis

• The concept of principal components analysis (PCA)
• Why PC transforms are used in remote sensing
• How to perform a PC transform on Landsat TM data and evaluate the results

9. Spectral and Hyperspectral Processing Tools

• Extract and examine spectral profiles from hyperspectral data
• Collect unique spectra in the same plot window for comparison
• Learn how and why to use spectral Libraries
• Compare data-derived spectra to known library spectra
• Use the Spectral Angle Mapper (SAM) classifier
• Use the Spectral Hourglass Wizard

10. Extending ENVI

• Use Band Math to apply a mathematical expression to AVHRR data
• Write and execute a user Band Math function
• Compile an IDL routine from within ENVI
• Learn how to start and use ENVI from the IDL command line
• Edit and execute an ENVI batch mode program
• Customize the ENVI menu system
• Install and use an ENVI user function

11. Color Transform and Data Fusion Techniques

• Combine AVHRR data with RADARSAT data in RGB composites
• Transform color-composite images from RGB to HSV color space
• Enhance color-composite images with a saturation stretch
• Create a synthetic color image from a gray scale radar image
• Fuse high-resolution radar data with low-resolution multispectral data
• Use the HSV color space to enhance image features

12. Mosaicking in ENVI

• Prepare images prior to mosaicking in ENVI
• Perform geographic linking
• Create a georeferenced mosaic

13. Annotation and Hardcopy Output

• How to use ENVI’s QuickMap tool
• How to manually make annotation files
• The difference between an annotation layer and burning annotations into an image
• Special mouse button controls for the annotation tools
• How to make a map from an image
• How to create hardcopy and Postscript output