📌 ENVI 중급과정

[중급] Exploring ENVI

Reading RASTER Data

Image to map Registration

Regions of interest and classification techniques

Principal components analysis

Spectral and Hyperspectral Processing Tools

Extending ENVI

Color transforms and data fusion techniques

Mosaicking in ENVI





Exploring ENVI


Introduction to ENVI 수강 또는 그에 상응하는 ENVI 사용 수준

노트북 컴퓨터*

📌 교육내용

"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