CNN architectures. The single-channel architecture with a single wavelength input that is composed of two blocks of a convolutional layer is shown at the top, with the ReLU activation function and max pooling layer, followed by a fully connected (FC) layer and a final sigmoid activation function. The multichannel architecture with a multiwavelength input that is composed of two blocks of a convolutional layer is shown at the bottom, with the ReLU activation function and max pooling layer, followed by an FC layer and a final sigmoid activation function. Figures constructed following Iqbal (2018).