Research on Hyperspectral Image Target Detection Algorithm Based on Depth Learning

This method includes two steps: (1) The first step is to use neural network to extract depth from the collected hyperspectral images, and then use it to classify the hyperspectral images. (2) The second step is to use the classification result obtained in step 1 to detect the target in the collected hyperspectral image. we need more algorithms, such as classification algorithm and data mining algorithm, which can help us achieve our goals. In this technology, the training data is divided into two parts: one part contains the original images captured with different spectral bands; The other part contains the same original image after processing with various algorithms. The final HIC model consists of a set of convolutional neural networks, which are trained to predict.