ABSTRACT:

In this paper the problem of semisupervised hyperspectral unmixing is considered. More specifically, the unmixing process is formulated as a linear regression problem, where the abundance's physical constraints are taken into account. Based on this formulation, a novel hierarchical Bayesian model is proposed and suitable priors are selected for the model parameters such that, on the one hand, they ensure the nonnegativity of the abundances, while on the other hand they favor sparse solutions for the abundances' vector. Performing Bayesian inference based on the proposed hierarchical Bayesian model, a new low-complexity iterative method is derived, and its connection with Gibbs sampling and variational Bayesian inference is highlighted. Experimental results on both synthetic and real hyperspectral data illustrate that the proposed method converges fast, favors sparsity in the abundances' vector, and offers improved estimation accuracy compared to other related methods.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :SCDN: A Novel Software-Driven CDN for Better Content Pricing and Caching - 2018ABSTRACT:In conventional content delivery networks (CDNs), where the content providers (CPs) are lack of the topology information, it
PROJECT TITLE :LAW: A Novel Mechanism for Addressing Hidden Terminal Problem in LTE-U and Wi-Fi Networks - 2018ABSTRACT:Recently, the use of LTE in unlicensed spectrum (LTE-U) has gained a lot of attention. One of the daunting
PROJECT TITLE :Hybrid Phased-MIMO Radar: A Novel Approach With Optimal Performance Under Electronic Countermeasures - 2018ABSTRACT:This letter presents a completely unique technique for optimizing the performance of a phased-multi-in
PROJECT TITLE :A Novel Power Minimization Precoding Scheme for MIMO-NOMA Uplink Systems - 2018ABSTRACT:This letter is to investigate the employment of non-orthogonal multiple access (NOMA) and new transceiver design for multiple-input
PROJECT TITLE :Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018ABSTRACT:Frame rate up conversion (FRUC) will improve the visual quality by interpolating new intermediate

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry