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The requirements for sensor parameters of different application are different. This study evaluated the influences of signal-to-noise ratio (SNR), spectral resolution (SR) and ground sample distance (GSD) of hyperspectral remote sensing data for the mineral mapping and revealed the requirements of these sensor parameters. A SNR centered parameters optimization method was proposed to the optimization...
The study on the influence of noise is never discontinuous in hyperspectral image processing. This paper studies this key element in dimension reduction methods based on orthogonal transformation of hyperspectral images. Firstly, distribution features of noise in spectral and spatial dimension are analyzed. Then several traditional dimension reduction methods are discussed. And, noise estimation methods...
This paper addresses joint power control and link scheduling problem in Spatial-reuse Time Division Multiple Access (STDMA) networks with consecutive transmission constraint, where multiple links should be scheduled in a number of consecutive time slots. By multi-link management with power control and scheduling, the network can provide lower transmission latency or support more users. In this paper,...
The goal of this study is to define a scheme for fast and accurate medium access control (MAC) in distributed power-controlled wireless networks. The system model assumes (i) arbitrary topologies, (ii) arbitrary call arrival rates, (iii) multiple links transmitting simultaneously over shared interference-limited channels, and (iv) transmitters updating their powers to maintain a predefined signal-to-interference...
An important performance measure in wireless networks is the manner in which the network can distributively manage its limited energy and spectrum resources, while assuring certain quality of service for communicating users. The current practice is to develop schemes with low complexity that are based on workable, but theoretically suboptimal techniques such as random access or carrier sensing. To...
In this paper, two novel antenna selection algorithms based cost function for multiple-input multiple- output (MIMO) wireless system are introduced, which are named Increasing selection Based Cost Function (IncBCF) and Decreasing selection Based Cost Function (DecBCF), respectively. The proposed antenna selection algorithms are only considered at the receiver, which aim at maximizing channel capacity...
Transforms on the spectral domain are often used to compress and extract information of sample features for the supervised classification on hyperspectral images. On condition that the ground samples are all in mass each, there are more obvious advantages on sample classification with obscure spectral features when using Maximum Noise Fraction (MNF) transform, or named two cascaded principal components...
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