I think the issue might be that the bands contain uint8 data stored as uint16 (one extra bit seems used for GDAL's nodata) and the display function `show_img` does not handle this. In this case casting the RGB array to uint8 before display might work: show_img(img11a.astype('uint8')) Christoph On 3/21/2016 5:17 PM, Stéfan van der Walt wrote:
Hi Jaime
These are the layers coming out of the TIFF reader:
https://gist.github.com/6881c3527b3099c49891
Can you recognize which ones are which? Do they look correct? Maybe you can compare them against the ones you see in ArcMap.
Thanks! Stéfan
On 21 March 2016 at 16:36, Jaime Lopez Carvajal <jalopcar@gmail.com> wrote:
Hi Stefan,
Sure, I attached a small fraction of original image, because Remote Sensing images are very big. The TIFF image has 4 bands.
Hope this helps, Jaime
On Monday, March 21, 2016 at 7:23:53 PM UTC-4, stefanv wrote:
Hi Jaime
On 21 March 2016 at 16:02, Jaime Lopez Carvajal <jalo...@gmail.com> wrote:
Of course, I would like to visualize the image like this (attached image), that was obtained using ArcMap software, with the usual band order for True Color (RGB) and Composite Infrared (CIR) in remote sensing applications. The tiff image that I loaded has 4 bands, so I would think that the order would be: band0(Red), band1(Green), band2(Blue), band3(Infrarred), so if I want to visualize the true color image, I would need to use this instruction: TrueColor_img = img11[:,:,(0,1,2)]
I'll take a look. Can you please upload an example tiff?
Thanks Stéfan
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