MIMNDPP: MaximumInformation and MinimumNoise Determinantal Point Processes for Unsupervised Hyperspectral Band Selection Abstract   Band selection plays an important role in hyperspectral imaging for reducing the data and improving the efficiency of data acquisition and analysis whilst significantly lowering the cost of the imaging system. Without the category labels, it is challenging to select an effective and lowredundancy band subset. In this paper, a new unsupervised band selection algorithm is proposed based on a new band search criterion and an improved Determinantal Point Processes (DPP). First, to preserve the original information of hyperspectral image, a novel band search criterion is designed for searching the bands with high information entropy and low noise. Unfortunately, finding the optimal solution based on the search criteria to select a lowredundancy band subset is a NPhard problem. To solve this problem, we consider the correlation of bands from both original hyperspectral image and its spatial information to construct a doublegraph model to describe the relationship between spectral bands. Besides, an improved DPP algorithm is proposed for the approximate search of a lowredundancy band subset from the doublegraph model. Experiment results on several wellknown datasets show that the proposed optical band selection algorithm achieves better performance than many other stateoftheart methods.

LowComplexity Adaptive Switched PredictionBased Lossless Compression of TimeLapse Hyperspectral Image Data Timelapse hyperspectral image (HSI) data has an enormous size and demands lossless compression for most of the high fidelity applications. In literature, spatial and spectral correlations in HSI are widely studied and used for compression. We propose a novel adaptive switched predictionbased scheme, which efficiently exploits temporal correlations in addition to spatial, and spectral correlations. The predictor switching uses a threshold, which is chosen based on the residual error distribution of already encoded band. Hence, our method does not need any overhead to be transmitted. The proposed scheme outperforms other stateoftheart methods in bitrate, and the method is computationally efficient too.