McIDAS User's Guide
Version 2018.1
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Applies mathematical functions to image data.
IMGOPER sdataset1 . . sdatasetn ddataset [keywords] "comment
IMGOPER generates a new image by applying mathematical functions to data from one or more source images. The following equation computes the data value for each line/element pair in the destination image. This operation is performed repeatedly using data from source image line/element pairs as input values (input) until the entire image is completed.
The part of the equation operating on a single input data value, (COEFn*(OFFn+((SIGNn)*inputn)**POWn)), is referred to as a term. n represents the number of sdataset images. It may not be larger than 100. input1 . . n represents the individual data values from each of the source images. The FORM determines how the terms are combined. For example, if you specify FORM=MULT, the terms are multiplied.
Before the input data values are used in the equation, they are checked against the lower and upper limit thresholds set with the keywords LLMT and ULMT. If you do not specify limit thresholds, all data is used.
To use data from more than one band in a single multibanded image, you must specify that image with the sdataset parameter for each band used. For example, the following entry subtracts data values for band 10 from band 8, both in image A/A.1, and places the resulting image in A/A.5.
IMGOPER A/A.1 A/A.1 A/A.5 FORM=ADD BAND=8 10 COEF=1 -1
All source images must have the same projection, resolution and navigation. If they do not, use the command IMGCOPY or IMGREMAP before using IMGOPER. The source image can have unlimited number of lines and no more than 22,000 elements.
The destination image receives the directory information from the last source image. To change the image directory information, use the IMGCHA command.
To get better precision for operations that result in small values, use the keywords MCON and SCALE.
When using multiple source images, you must specify keyword values in the same order as the source images: value1 applies to the data in sdataset1. If a keyword allows for multiple values, the last entered value is the default for all subsequent values. The default listed for the keyword only applies if the keyword is not used. In the following command, for example, because an offset was specified only for images A/A.1 and A/A.2, image A/A.3 receives an offset of 10, the last entered value.
IMGOPER A/A.1 A/A.2 A/A.3 D/D.5 FORM=ADD OFF=1 10
Currently each data value in the output image, ddataset, can contain only 1-byte data. If the range of output data values is greater than 256, the output data loses accuracy.
You can use IMGOPER to create a netCDF image file. To do so, the destination dataset must be NCDF-format and IMAGE-type. See the Remarks section in the DSSERVE command for more information.
IMGOPER A/A.1 A/A.1 A/A.5 FORM=ADD BAND=8 10 SIGN=P M
This entry subtracts data values of band 10 from band 8, both in the image in position 1 in dataset A/A, and places the resulting image in position 5 in dataset A/A.
IMGOPER A/A.1 A/A.4 A/A.5 FORM=ADD BAND=2 3 COEF=1 -2
This entry multiplies the data values of band 3 of the image in position 4 in dataset A/A by 2 and subtracts them from band 2 of the image in position 1 in dataset A/A and places the resulting image in position 5 in dataset A/A.
IMGOPER OLD/DATA.1 OLD/DATA.1 OLD/PROD BAND=8 10 COEF=1 -1 SCALE=-10 10 PROD=DIFF UNIT=TEMP
This entry subtracts band 10 temperature data from band 8 temperature data of the image in position 1 in dataset OLD/DATA and places the resulting image in dataset OLD/PROD in the position following the most recent image. The output values are given the product name DIFF. The difference values between -10 and 10 are scaled from 0 to 255.
IMGOPER MSI.4 MSI.4 RATIO.1 FORM=MULT BAND=7 8 POW=1 -1 PROD=RATI SCALE=50 150 50 200 UNIT=BRIT MCON=100
This entry divides the brightness values from band 7 by the brightness values from band 8 of the image in position 4 in the dataset with the alias name MSI. The resulting image is placed in position 1 in the dataset with the alias name RATIO. The output values are given the product name RATI and multiplied by 100. The product values from 50 to 150 are scaled from brightness 50 to 200.
IMGOPER GOES/IR.1 GOESIR.2 PROD.4 BAND=8 8 COEF=-1 1 SCALE=-10000 10000 UNIT=RAD PROD=TEST MCON=1000
This entry subtracts band 8 radiance data in the image in position 1 in dataset GOES/IR from band 8 radiance data in the image in position 2 in dataset GOES/IR and places the resulting image in position 4 in dataset PROD. The output values are given the product name TEST and multiplied by 1000. The product values from -10000 to 10000 are scaled from brightness 0 to 255.
IMGOPER I/TEST.8 I/PROD.4 FUNC=LOG SCALE=0 20 0 255 UNIT=RAD MCON=1000
This entry multiplies the data values in the image in position 8 in dataset I/TEST by 1000 and then takes the logarithm. The results from 0 to 20 are scaled from brightness 0 to 255 and placed in position 4 in dataset I/PROD.
IMGOPER A/ALL.8344 A/ALL.4004 MISS=0 FUNC=LN PROD=NTLN SCALE=0 6 UNIT=BRIT
This entry takes the natural logarithm of the brightness image data in the image in position 8344 in dataset A/ALL and places the resulting image in position 4004 in the same dataset. The output values are given the product name NTLN. The product values from 0 to 6 are scaled from brightness 0 to 255.
IMGOPER G-7.1 MET3.1 A.1 SCALE=0 130050 0 255 PROD=PRMS POW=2 FORM=ADD "Intermediate
RMS
IMGOPER A.1 A.2 PROD=RMS
FUNC=SQRT MCON=0.5 UNIT=PRMS "Actual RMS
These entries compute the Root Mean Square (RMS) difference between the data in the images in position 1 in the datasets with the alias names G-7 and MET3. The first entry computes the sum of the squares of the data. The second entry computes the average square root of the results of the first command. Before running IMGOPER, the two source images must be remapped so that they have identical navigation.
IMGOPER GOES7/IR.30 METEOSAT/IR.3 COMPOSITE.1 FORM=CMIN SIZE=ALL
This entry takes the entire image in position 30 in dataset GOES7/IR and the entire image in position 3 in dataset METEOSAT/IR and combines the two images using the CMIN option. Before running IMGOPER, the two source images must be remapped so that they have identical navigation.
IMGOPER TEST/AREA.1 TEST/AREA.2 LLMT=108 ULMT=144 SCALE=108 144 2
38
IMGOPER TEST/AREA.1
TEST/AREA.3 LLMT=148 ULMT=196 SCALE=148 196 43 136
IMGOPER TEST/AREA.2
TEST/AREA.3 TEST/AREA.4 FORM=ADD MISS=NONE
These entries apply a series of scaling to the brightness values in the image in position 1 in dataset TEST/AREA. All brightness values between 0 and 107 are set to zero, all brightness values between 108 and 144 are scaled from 2 to 38, and all brightness values between 148 and 196 are scaled from 43 to 136. All values outside the specified LLMT and ULMT values are assigned a value of zero. The third command adds the output from the first two together so that TEST/AREA.4 has the desired results.
IMGCOPY NEXRAD/BREF1.1 DTX/RADAR.51 ID=DTX SIZE=ALL
IMGCOPY NEXRAD/BREF1.3 DTX/RADAR.52 ID=DTX SIZE=ALL
IMGCOPY NEXRAD/BREF1.5 DTX/RADAR.53 ID=DTX SIZE=ALL
IMGCOPY NEXRAD/BREF1.7 DTX/RADAR.54 ID=DTX SIZE=ALL
IMGOPER DTX/RADAR.51 DTX/RADAR.52 DTX/RADAR.53 DTX/RADAR.54 DTX/RADAR.55 FORM=ADD COEF=0.25 0.25 0.25 0.25
These four IMGCOPY entries copy the four images in positions 1, 3, 5 and 7 of dataset NEXRAD/BREF1 to positions 51-54 of dataset DTX/RADAR. The IMGOPER entry then computes the mean of the four images and writes the output to the image in position 55 of dataset DTX/RADAR.
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