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Hello, thank you for providing such a great job.
I am trying to use this work for processing hyperspectral images, but I would like to cancel the use of pre trained weights as they are applicable …
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`torchvision` defines [Transforms](https://pytorch.org/docs/stable/torchvision/transforms.html) objects to apply data augmentation and other transformations to data.
We could and should define our …
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After an in-person discussion with @cmordi, I have made a list of items that I would like to see in the near but not immediate future.
1. Add a setting to allow for persistent connection to the spe…
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Hi,
I used your old ver of [SpectralDiffuserCam](https://github.com/Waller-Lab/SpectralDiffuserCam)
I want to use all of the provided reconstruction methods adding a mask
Is it straight forward to …
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Thank you for your wonderful work. I now have a task that needs to perform super resolution for hyperspectral images in remote sensing. As the name implies, hyperspectral images have more than 3 chann…
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In TrainTheModel file
Line number [5]
# Reshape into (numberofsumples, channels, height, width)
X_train = np.reshape(X_train, (X_train.shape[0],X_train.shape[3], X_train.shape[1], X_train.shape[…
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# 초분광 이미징 분석 기술
높은 공간 및 스펙트럼 정보를 포함하는 초분광 큐브는 수십 ~ 수백 메가바이트의 대용량으로, 대기 및 기하학적인 왜곡 등 물리적인 요인뿐만 아니라, 데이터의 혼합된 픽셀, 인접 대역에서의 높은 상관관계로 인한 높은 데이터 중복성, 초분광 시그니처의 가변성, 그리고 차원의 저주(curse of the dimensionalit…
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Author Name: **Bryan Karpowicz** (Bryan Karpowicz)
Original Redmine Issue: [10743](https://issues.qgis.org/issues/10743)
Redmine category:rasters
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When loading a hyperspectral image currently qg…
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Hello,
Can you share the central wavelength data of the hyperspectral dataset? This information is important to obtain RGB data from hyperspectral data.
Thanks in advance!
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Hello, would it be possible for you to share the code for the two conference papers you've recently published? This would greatly facilitate replication and comparison efforts. Thank you.