gokriznastic/hybridsn

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hybridsn's Issues

Error while create model

Negative dimension size caused by subtracting 3 from 1 for 'conv3d_6/convolution' (op: 'Conv3D') with input shapes: [?,1,1,20,16], [3,3,3,16,32].

Code for Multispectral data

@gokriznastic Can we use this code for multispectral data i.e., data of 5 channels ?

Solved

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history = model.fit(x=Xtrain, y=ytrain, batch_size=256, epochs=100, callbacks=callbacks_list)

crashing google colab

difference between windowSize=5 and windowSize=25

Why you have taken different windowSize=5 in function createImageCubes() and windowSize=25. What is the difference it would make in program. I am new to this field. please explain..

ValueError: Error when checking : expected input_1 to have shape (25, 25, 30, 1) but got array with shape (25, 24, 30, 1)

Dataset is IP, the windowSize is set to 25, when i valiation this model, the error is reported . The error is lie in line 64：prediction = (model.predict(X_test_image))

PCA & Imagecube before train test split cause data leak.

Hi, thank you for sharing the code. That helps alot.
I applied the code on my own hyperspectral image, the test result is very good with almost 100%. However, the model doesn't predict well on other similar images. One thing I can think of is because of PCA on the whole image, and different images will cause different PCA loadings. However, I tried train the model without PCA, i.e. put all spectral in, the test result is less than 40% accuarcy rate (haven't figured out why). Another thing that will compromise the model integrity is create image cube before train test split. That will mix training pixels and testing pixels all together. For any 25x25 image cube, it will definatly contain training and testing spectra.

Salinas dataset 25x25 windowsize problem

Could you share salinas code for image cubes function.I'm doing in colab it is crashing with that function

How to show every class map?

Hi. I want to show every class color map like the picture, how I can do it? Thanks.