A distributed spectral-screening PCT algorithm

A distributed spectral-screening PCT algorithm

code for the sensor is shown in Program 2. It repeatedly obtains multi-spectral image cubes from the sensor (1), waits for an appropriate request for work from a worker (2), decomposes the image cube to generate an unassigned sub-cube (3) and sends the sub-cube to the requesting worker (4). Program 2: Sensor Thread Operation main() { mp = get_my_multiprocessor_id() if(mp == 0) { numsubcubes = g...

A concurrent spectral-screening PCT algorithm for remote sensing applications

The paper presents a concurrent algorithm for remote sensing applications that provides significant performance and image quality enhancements over conventional uniprocessor PCT techniques. The algorithm combines spectral angle classification, principal component transform, and human centered color mapping. It is evaluated from an image quality perspective using images collected with the Hyper-...

A Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition

Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...

[Abstract prepared by the PCT Legal Division (PCT-2010-0005)]

A Genetic Spectral Clustering Algorithm

As a novel clustering algorithm, spectral clustering is applied in machine learning extensively. Spectral clustering is built upon spectral graph theory, and has the ability to process the clustering of non-convex sample spaces. Most of the existing spectral clustering algorithms are based on k-means algorithm, and k-means algorithm uses the iterative optimization method to find the optimal sol...