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Feng

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  1. There are several users reported an error when using CAT to do the map projection. The error shows:

    image.png

    I have tested CAT in different platforms and confirm that this issue is platform-related issue. For windows 10, windows server 2019 and older versions, there is no such error. But for windows 11, windows server 2022, or other new iOS , the error shows up.

    I reported this bug to ENVI support but not sure how long it will take to fix this. I will post an update once there is a solution. Please stay tune and thanks for your patient.

     

    Update:

    Attached are the fix files and instruction for this error (please rename the file extension txt back to pro. This is due to the forum limitation of upload file format ). The zipped fix files or updated CAT package will be posted in following link soon:

    https://pds-geosciences.wustl.edu/missions/mro/crism.htm

    Note: ENVI team does not have a fix to this bug in near term. Moreover, our fix is based on ENVI standard thus it does not apply to ENVI classic interface. Therefore, we strongly recommend user to switch ENVI standard interface.

    CAT_mapProjection_Fix.pdf

    crism_projection.txt

  2. Array scanning spectrometers are becoming an important element in remote sensing, particularly for in-situ studies. Often times the data are provided as spectral libraries and not a spectral image cubes. To support conversion of individual spectra to spectral image cubes we provide an IDL script that takes individual spectra and creates the cube. To run the script download the attached file and in ENVI/IDL (standard ENVI, not Classic) run create_library_cube.pro in IDL, then run it in the IDL prompt by typing create_library_cube, param1, param2, param3 (for example: create_library_cube, 10, 10, 0) or just create_library_cube if you don’t want to specify any input parameters. Explanations of Param1 to Param3 can be found in comments included in the IDL pro file.

    IDL script:

     

    ; Created: Apr. 18, 2023
    ; By: Feng Zhou
    ; Edited: May 3, 2023
    ; input parameters:
    ; cubeCol: int, designed output cube column
    ; cubeRow: int, designed output cube row
    ; zzFlag: int, 1 or 0, if 1 then convert spectra to zig-zag matter,
    ;   for example we are using 10X10 cube as an example
    ;   Each image cube is 10 spectra by 10 spectra taken as a raster across the surface.
    ;   The first row has spectra 0 thru 9, the second row has spectra 19 thru 10, and so on (the spectra are ordered in a zig-zag fashion).
    ;   if 0, The first row has spectra 0 thru 9, the second row has spectra 10 thru 19, and so on

    pro create_library_cube, cubeCol, cubeRow, zzFlag
      compile_opt idl2
      e = ENVI(/CURRENT)
     
      lib=envi_pickfile(title='Select the spectral library to convert')
      if (lib eq '') then return
      envi_open_file, lib, r_fid=fid
      envi_file_query,fid, dims=dims, wl=wl, ns=ns, nl=nl
      spec=envi_get_data(fid=fid, dims=dims, pos=0)
      ; check if there are input parameters
      if(cubeCol > 0) then begin
        newNs = cubeCol
      endif else begin
        ;default column value
        newNs = 10
      endelse
      if(cubeRow > 0) then begin
        newNl = cubeRow
      endif else begin
        ;default row value
        newNl = 10
      endelse

      data = Fltarr(newNl,newNs,ns)
      data[*,*,*] =0.0
      if(zzFlag eq 1 ) then begin
        for i=0,ns-1 do begin
          for j=0, nl-1 do begin
            reminder = j MOD newNs
            newrow = (j-reminder)/newNs
            oddOReven = newrow MOD 2
            if(oddOReven eq 1) then begin
              newcol = newNs -1 - reminder
            endif else begin
              newcol = reminder
            endelse
            data[newrow, newcol, i] = spec[i,j]
          endfor
        endfor
      endif else begin
        for i=0,ns-1 do begin
          for j=0, nl-1 do begin
            reminder = j MOD newNs
            newrow = (j-reminder)/newNs
            newcol = reminder
            data[newrow, newcol, i] = spec[i,j]
          endfor

        endfor
      endelse
      newfile = lib.replace(".sli", "_s2c.img")

      p=[1,0,2]
      spec_out = transpose(data, p)
      raster=ENVIRaster(spec_out, URI=newfile, NBANDS = ns, NCOLUMNS = newNs, NROWS = newNl, DATA_TYPE = 4)
      raster.Save


      Task = ENVITask('SetRasterMetadata')
      Task.INPUT_RASTER = raster

      Task.NBANDS = ns
      Task.NCOLUMNS = newNs
      Task.NROWS = newNl
      Task.DATA_TYPE = 'Float'

      Task.BYTE_ORDER = 'Host (Intel)'

      Task.INTERLEAVE = 'bsq'

      Task.WAVELENGTH_UNITS = 'Micrometers'
      if( n_elements(wl) gt 1) then Task.WAVELENGTH  = wl
     
      Task.Execute
     
      newRaster =e.OpenRaster(newfile)

      View1 = e.GetView()

      Layer1 = View1.CreateLayer(newRaster)

    end

     

  3. Hi Emran,

    After communicating with the CRISM team, we got an answer from Frank Morgan, the developer of CAT:

    "One possibility is to call the IDL function directly. The ATP stuff is in routines atp_nontile.pro and atp_tile.pro. Assuming they’re working with non-tile (like FRS, FRT, HRL etc) data use atp_nontile.pro.

     

    The header describes the inputs. It takes a big structure with all the input parameters. Set the batch keyword to avoid halts on trapped errors (that mode is more lightly tested than non-batch, but hopefully will work.)

     

    A lot of the apparent complexity in that routine is handling different data format cases, trapping errors, reading ancillary data etc. The real work is fairly straightforward. If they want to maximize efficiency they may want to pull from crism_photom_corr for photometric correction, and scaleatm_pcm and patch_vs_artifact for atmospheric correction."

     

    Thanks,

     

    Feng

  4. Hi Rob,

    Sorry for confusing you. I was thinking to build a Geographic lookup table from DDR in ENVI, then reference the TRDR to GLT to generate a TRDR_GLT image, and finally re-project it in ArcGIS. I did a quick test but unfortunately, it failed in the last step.

    Maybe you can try the ISIS which is open source software to do the projection. ISIS has the pixel2Map function:

    https://isis.astrogeology.usgs.gov/Application/presentation/Tabbed/pixel2map/pixel2map.html

     

    Thanks,

     

    Feng

     

  5. Hi Sehaj,

    Please try the latest version 5.6.2. It is knowing issue for ENVI 5.6 that the map projection engine used in 5.6 cannot parse some strings correctly. In 5.6.2 release, ENVI fixed this problem. We had tested CAT map projection in ENVI 5.6.2 from several PCs. The performance is about within one minute. If you dodn't have access to 5.6.2, I would suggest you to switch back to 5.5.3 version. CAT map projection in 5.5.3 is also fast.

     

    Thanks,

     

    Feng

     

  6. Hi Nathan,

     

    We emailed the question to the data producer one week ago but didn't get his response. On the other hand, we think your result and code are correct. We did get the same result as yours through different method. There is some difference between SU TER and summary parameters from IF TER. I suggest you can continue your way for the further steps.

     

    Thanks,


    Feng

  7. Hi Sehaj,

     

    Thanks for you update. I will help you to fix these problems. To better assist you, can we go to a zoom meeting to fix these problems? You can send me (feng.zhou@wustl.edu) an email with your available time slots so that I can send you a zoom link.

     

    BTW, would you please try the standard interface of ENVI 5.6? It has a lots of new features than classic.

     

    Thanks,

     

    Feng

  8. Hi Sehaj,

    The header error is because the customized map projection engine data for CAT is not set up correctly in your computer. You can following the instruction document (custom_pedata_instructions.docx) in CAT_ENVI\aux_files\pe_user_defined folder to set up correctly. Please let me know if you still have a problem. BTW what ENVI version are you using? I saw you use ENVI classic. Is it possible for you to upgrade ENVI to 5+ version and use the standard interface?

     

    Thanks,

     

    Feng

     

  9. hi Rochdi,

    My suggestion is that you merge the S (VNIR) and L(IR) cubes into one and then slice them to what you want.

    The S cubes and L cubes have minor offsets. To merge them, you have to register one another. And then use attached IDL code to merge them. Following are detailed steps:

    1, download the CTX covers the S/L cubes area in ODE (using Geotiff format CTX product)

    for example using crism trdr (frt0001176e_07) as example:

    • first search frt0001176e_07 product then show result on map, you can see frt0001176e_07 area on the map;
    • select CTX layer; on map display, draw a rectangle to cover this area using "Select Products with Rectangle" tool;
    • download the CTX product in Geotiff format for exmaple (B07_012228_1427_XN_37S039W.tiff)

    2, in CAT doing map projection for both S and L cubes

    3. register map projected S and L cubes to the CTX product by using "Image Registration Workflow"

    image.thumb.png.ea08300752fc5ff3c10bc09b8b8b775d.png

    Manually select tie points (I select 9 tie points ) between CTX and TRDR:

    image.png.5829c458e4d258d9a8c79d07ed96fd66.png

    image.thumb.png.78a9f30fe47d83d597d27cd5d3e9b842.png

    4, rename the attached SL_alignment_v5.txt to  SL_alignment_v5.pro and open it in IDL,  In IDL interface, click "Run', it will ask you select L cubes (results from step 3) , then select S cubes (results from step 3) and output the merged data. Now you have the data covers from 0.3646 to 4. You can select bands you need to export a subset data.

     

    image.thumb.png.7b3604bbe2143bab8d19d02f4a2ab029.png

     

     

    SL_alignment_v5.txt

  10. Hi Rochdi,

    It shows your CAT is successfully installed (it is under Display Tab, CAT 7.4 not under the toolbox extensions) in the first recording you sent to me. You shall be able to use all CAT function. Please let me know if you have any problems.

     

    Thanks,

     

    Feng

  11. Hi Rochdi: My timezone is Central Daylight Time (GMT -5). It's fine if we cannot go through virtual meeting. We can fix this issue via email communication. First I want to know several things:

    What's ENVI version you are using? Are you using Windows or Linux? Would you please check the idl.pref file described in the instruction document?

     

    Thanks,

     

    Feng

  12. Hi: This is Feng, I am glad to help you on the CAT issue. Based on your description, it seems ENVI doesn't recognized the CAT path. Once CAT is installed successfully, it won't show on ENVI toolbox but will be under the Display tab. We can start a zoom if you have a prefer time to solve this issue. Thanks

  13. Hi Ralph,

    I checked the same frame I processed two weeks ago. It seems I don't have the black strip.

    What is the value at the black strip when you move mouse on the black strip using cursor value in ENVI? How big is the result file?  Would you please resample it to small one and then send it to me with the header file?

    Thanks,

    Feng

  14. Hi Ralph,

    This is caused by ENVI displaying the CRISM 65535 data_ignore_value. The warp image is displaying the big span than the valid data range. To display it correctly, you can modify the histogram stretch. Here are the steps:

    1, first check the histogram for three bands value range of the trr3:

    image.png.164b107b2104a228a728c1d59ca44b4b.png

    2, use "save as" tool under File to output the warped result to specify the data ignore value:

    image.png.f447e0ac44ffd0f627276e29a7d6194b.png

    image.png.018009b592a584b7812d99752a397f2a.png

    3, then change the output image accordingly:

    From

    image.thumb.png.a857bded731e5172b39fb12e766651ff.png

    to:

    image.thumb.png.4c3c9b0bf3b2cae9e1063d0e81df8e02.png

    Please let me know if you have any questions.

    Thanks,

    Feng

     

  15. Hi Ralph,

    i saw the miss-match feature when overlapping CRISM on CTX even projecting them to the same map projection. This is because CTX and CRISM are from two instruments and processed differently. So you may use ENVI image registration to co-register CRISM to CTX to reduce the difference (see image registration workflow in ENVI: https://www.harrisgeospatial.com/docs/ImageRegistration.html). Please let me know if you have any question.

    Thanks,

    Feng

  16. Hi Ralph,

    This is Feng. I will assistant you on this issue.These definitions are in CAT folder: CAT_ENVI -> aux_files -> crism_projection. These are three files in the folder. And you shall copy them to ENVI folder like:

    C:\Program Files\Harris\ENVI55\IDL87\resource\pedata\user_defined

    You can check CAT installation guide for more details: step 5 in https://pds-geosciences.wustl.edu/missions/mro/CAT_74_ENVI_5x_Setup_Windows.pdf

     

    Please let me know if you have any question.

     

    Thanks,

     

    Feng

     

    image.png.d1bc940361aedd3813d9eca583615cba.png

  17. Hi Vidyesh,

    A data ignore value is a designated pixel value that ENVI should ignore when processing an image or computing statistics.

    When CAT processing these image, it sets the noData as 65535. If the  data ignore value is not set as 65535, when ENVI display these images, it displays the whole data range (i.e. from 0 to 65535). So the input histogram for each color (RGB) is from 0 to 65535, the output display will arrange them from 0 to 255. Since most values data are close to zero end not the 65535 end, it returns 0 (for each color i.e. RGB) on the output display instead of a value between 0 and 255. So ENVI now displayes a image which has R=0, G=0, B=0. which is actual a black image.  Hope this helps.

     

    Thanks,

     

    Feng

     

  18. Hi Vidyesh,

    I download these two data and processed the exact same way as you described but didn't find any problem. Your processing looks fine. One thing you may look at is the header file of the stacking image. The blank in your image could be the data_ignore_value in your header. Would you please compare the header file with mines:

    ENVI
    description = {
      Create Layer File Result [Tue Dec 17 09:47:59 2019]}
    samples = 751
    lines   = 634
    bands   = 518
    header offset = 0
    file type = ENVI Standard
    data type = 4
    interleave = bsq
    sensor type = Unknown
    byte order = 0
    map info = {MRO Mars Equirectangular [IAU 2000] [-35.00N; -39.88E], 1.0000, 1.0000, -6787.3851, -2187402.8323, 1.8000000000e+001, 1.8000000000e+001, D_Mars_2000_IAU_IAG_custom_sphere_lat35, units=Meters}
    projection info = {17, 3389570.0, -35.000000, -39.880000, 0.0, 0.0, D_Mars_2000_IAU_IAG_custom_sphere_lat35, MRO Mars Equirectangular [IAU 2000] [-35.00N; -39.88E], units=Meters}
    coordinate system string = {PROJCS["MRO Mars Equirectangular [IAU 2000] [-35.00N; -39.88E]",GEOGCS["GCS_Mars_2000_IAU_IAG_custom_sphere_lat35",DATUM["D_Mars_2000_IAU_IAG_custom_sphere_lat35",SPHEROID["Mars_2000_IAU_IAG_custom_sphere_lat35",3389570.0,0.0]],PRIMEM["Reference_Meridian",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Equidistant_Cylindrical"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-39.88],PARAMETER["Standard_Parallel_1",-35.0],UNIT["Meter",1.0]]}
    wavelength units = Nanometers
    data ignore value = 6.55350000e+004
    band names = {
     Layer (Band 1:frt0001176e_07_if164s_trr3_corr_p.img),
     Layer (Band 2:frt0001176e_07_if164s_trr3_corr_p.img),

    .....

    Also I am using CAT 7.4 in ENVI 5.5 standard (not classic version) to process data. This may be another difference between us.

    Please let me know if the problem is still there after you check the header or reprocessed in ENVI 5.5 standard.

     

    Thanks,


    Feng

    image.thumb.png.a1cd4af7b34b3ddcda384ef72bd7decf.png

     

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