(c) 2017 Exelis Visual Information Solutions, Inc., a subsidiary of Harris Corporation. See LICENSE.txt for additional details and information. Layer4 = view.createLayer(rasterizeTask.OUTPUT_MASK_RASTER) License Layer3 = view.createLayer(masked) will be goofy colors because of stretching Masked = ENVIMaskRaster(rasterizeTask.OUTPUT_MEAN_RASTER, rasterizeTask.OUTPUT_MASK_RASTER) RasterizeTask.INPUT_STATS = maskStatsTask.OUTPUT_STATSĮ.data.add, rasterizeTask.OUTPUT_MASK_RASTER The ENVI and IDL software programs and the accompanying procedures, functions, and docu- mentation described herein are sold under license agreement. MaskStatsTask.OUTPUT_STATS = fix(maskStatsTask.OUTPUT_STATS) conver the type of our stats to integer reduce output file size output data type is taken from the stats which are calculated using doubles MaskStatsTask.SIZE_MIN = 400 assumed as square meters if spetial reference, otherwise pixels
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MaskStatsTask.INPUT_STATS = statsTask.OUTPUT_STATS Users are to uninstall this software when they graduate or otherwise leave the campus permanently. Generally this means computers in the domain or used in pursuing a degree at CU Boulder. MaskStatsTask = ENVITask( 'MaskFXRasterStats') IDL/ENVI licenses (via our site license) are available for faculty, student and university-owned computers at the University of Colorado Boulder. mask our stats by size and maximum pixel value You can copy/paste this code into IDL after ENVI is aware of the tasks. This example creates a water mask on the sample dataset. Layer3 = view.createLayer(rasterizeTask.OUTPUT_MEAN_RASTER) Example with GetFXRasterStats, RasterizeFXRasterStats, and MaskFXRasterStats Layer2 = view.createLayer(segmentTask.OUTPUT_RASTER) Layer1 = view.createLayer(raster, /CLEAR_DISPLAY) RasterizeTask.RASTERIZE_STATS = Į.data.add, rasterizeTask.OUTPUT_MEAN_RASTER RasterizeTask.INPUT_STATS = statsTask.OUTPUT_STATS RasterizeTask.FX_RASTER = segmentTask.OUTPUT_RASTER RasterizeTask = ENVITask( 'RasterizeFXRasterStats') StatsTask.STATS_RASTER = ENVISubsetRaster(raster, BANDS = ) StatsTask.FX_RASTER = segmentTask.OUTPUT_RASTER StatsTask = ENVITask( 'GetFXRasterStats') get statistics on RGB values for each segment SegmentTask = ENVITask( 'FXSegmentation') This example does require two overlapping scenes to run.įile = filePath( 'qb_boulder_msi', SUBDIR =, $ See the source code from fxrubblechangedetection.pro for example of how these tasks are used together.
ENVI IDL HOW TO
Here are some examples for how to run the tasks mentioned above, note that most of these are meant to be used together. For notes on where you can do this, see the following link: You will need to place all PRO code and task files in ENVI's custom code folder. You will need ENVI + IDL to run this code, as well as the Feature Extraction module for ENVI. Mask those statistics with basic logic conditions (MaskFXRasterStats).Ĭreate a raster from the calculated statistics (RasterizeFXRasterStats). Pixels should be 0.5 meter or smaller for the time 2 image.Įxtract statistics from the regions determined using FX (GetFXRasterStats). Note that high resolution imagery is required to effectively run this tool. It is not optimized for hurricane damage. It might also work well with earthquake imagery where buildings have collapsed and are now rubble. This algorithm was developed identifying rubble from where tornadoes have destroyed homes. Identifying rubble using feature extraction and change detection (FXRubbleChangeDetection).
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Exelis ENVI V5.3 IDL V8.This collection of tasks contains some useful tools that can add ease-of-use to ENVI's feature extraction (FX) module and allow for custom processing and thresholding of the results.
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