search for: bsq

I have a binary file which is an image with multiple bands, arranged in BSQ format such that R, B and G are all N x M sized matrices (corresponding to Red, Blue and Green colors respectively). The BSQ file arranges the data as [R, B, G], so to access the B matrix, I have to read forward N x M + 1 number of samples. Is there a fast way to define a variable as the B matrix...

I was hoping I could get some help with an import question. I work with remote sensing imagery which commonly comes in binary form in various interleaving formats (byte interleaved by line, by pixel, etc..). These files are 2d spatial x B bands in size, and I want to be able to extract the band values from various pixels (so each line of data into R would be one pixel x B bands). What's the

...d So I tried to break it up into smaller steps, but the resulting matrix seems to have lost its structure (see below). If someone could help me out, I sure would appreciate. Thanks. --John Sparks tickerlist<-ls(pattern="^[A-Z]+\\.f") for( i in 1:1) { HoldFin<-get(tickerlist[i]) BSQ<-as.matrix(paste0(HoldFin,"$BS$Q")) } BSQ [1,] "list(Q = c(52896, NA, 52896, 32305, 20591, 3718, 2776, NA, NA, NA, NA, 38799, 14097, NA, NA, -165, 14684, 11029, NA, NA, 11029, NA, NA, NA, 11029, NA, 11029, 11029, NA, NA, NA, NA, 5261.69, 2.1, NA, 0.57, NA, NA, NA, NA, NA, NA, NA,...

Is it somehow possible to use the the predict method of the raster package with a prediction model obtained using caret's train()? / predict(rasterStack, carettrain, filename="...", progress='text', format="BSQ", datatype='INT1U', type='response', overwrite=TRUE) / Thank you -- View this message in context: http://r.789695.n4.nabble.com/predict-pixels-of-raster-using-caret-derived-models-tp4642704.html Sent from the R help mailing list archive at Nabble.com.

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