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| ITT Curriculum Resources Library |
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The ITT Curriculum Resources Library is for professors and teachers to share course curriculum, labs, and other learning materials to create successful courses in remote sensing,GIS studies, and data visualization.
Upload items like:
- Course curriculum
- Data sources
- Developed labs
- Tutorials
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- Code plug-ins and applets
- White papers
- And more
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If you're looking for IDL or ENVI code, be sure to visit our code library for easy access to product Toolkits and Plug-ins developed by members of the IDL and ENVI community.
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Academic Code Library Content 2
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Lab Exercises in Image Process: Image Transforms --  |
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| Hits: 63 |
Updated:
Tue 09/15/2009 @ 01:36 |
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In this tutorial, you will:
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Use ENVI to experiment with different band ratios that highlight vegetation and clays.
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Create a simple normalized difference vegetation index (NDVI) to highlight healthy vegetation in an image.
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Perform a PCA and inspect the new principal component bands.
with your purchase of ENVI.The exercises in this tutorial use sample datasets from the ENVI Resource DVD, which was included
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Lab Exercises in Image Processing: Image Classification -- |
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| Hits: 57 |
Updated:
Tue 09/15/2009 @ 01:33 |
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In this tutorial, you will:
- Use ENVI EX to perform an unsupervised classification on a QuickBird image.
- Define training data and perform a supervised classification on the same image.
- Learn about different classification methods such as ISODATA, maximum likelihood, minimum distance, Mahalanobis distance, and Spectral Angle Mapper (SAM).
The exercises in this tutorial use sample datasets from the ENVI Resource DVD, which is included with your ENVI EX purchase.
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Laboratory Exercises in Image Processing: Sensor Resolution -- |
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| Hits: 33 |
Updated:
Thu 08/27/2009 @ 01:09 |
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These exercises introduce the concepts of spatial, spectral, temporal, and radiometric resolution. The
resolution of data refers to its ability to capture fine-scale detail accurately. With regard to remote
sensing data, resolution can mean several things. In this section, you will:
- Compare the spatial resolution of different sensors
- Learn how spectral resolution differs between remote sensing instruments and laboratory spectrometers
- View changes in AVHRR-derived vegetation index data over time (temporal resolution)
- View an example of data with limited radiometric resolution
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Laboratory Exercises in Image Processing: Radiometric and Atmospheric Corrections -- |
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| Hits: 38 |
Updated:
Wed 08/26/2009 @ 09:25 |
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If your goal is to analyze imagery of the same area from multiple dates, radiometric calibration is an essential step for normalizing the data to a common metric. Radiometric calibration can be divided into three distinct steps:
1. Instrument calibration
2. Atmospheric correction
3. Topographic correction
The exercises in this lesson focus only on the first two correction types. You will examine each type of signal distortion and use some of ENVI’s tools for correcting these effects.
In this section, you will:
* Learn about instrument calibration and apply ENVI's built-in QuickBird calibration routine
* Understand why atmospheric correction is used in multispectral image analysis, and apply a dark subtraction to a QuickBird image
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Laboratory Exercises in Image Processing: Contrast Stretching -- |
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| Hits: 32 |
Updated:
Wed 07/15/2009 @ 02:18 |
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This lab introduces the fundamentals of stretching image data. In this section, you will:
- Learn why image data are stretched when displayed on a screen
- See the effects of different contrast stretches on a remote sensing image
- Understand how color monitors work with different ranges of colors
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