Hyperspectral images contain tens to hundreds of bands, implying a high spectral resolution. This high spectral resolution allows for obtaining a precise signature of structures and compounds that ...

Construct a convolutional neural network using TensorFlow/Keras and understand each layer's role. Optimize the model training process using callbacks such as early stopping and learning rate ...

The enhanced image features are used for classification with three different CNN classification models: Convolutional Neural Network (CNN), CNN with attention module (CNN-AM) and CNN with a residual ...