Analysis of classification accuracy for pre-filtered multichannel remote sensing data

Noise is one of the main factors degrading the quality of original multichannel remote sensing data and its presence influences classification efficiency, object detection, etc. Thus, pre-filtering is often used to remove noise and improve the solving of final tasks of multichannel remote sensing. Recent studies indicate that a classical model of additive noise is not adequate enough for images formed by modern multichannel sensors operating in visible and infrared bands. However, this fact is often ignored by researchers designing noise removal methods and algorithms. Because of this, we focus on the classification of multichannel remote sensing images in the case of signal-dependent noise present in component images. Three approaches to filtering of multichannel images for the considered noise model are analysed, all based on discrete cosine transform in blocks. The study is carried out not only in terms of conventional efficiency metrics used in filtering (MSE) but also in terms of multichannel data classification accuracy (probability of correct classification, confusion matrix). The proposed classification system combines the pre-processing stage where a DCT-based filter processes the blocks of the multichannel remote sensing image and the classification stage. Two modern classifiers are employed, radial basis function neural network and support vector machines. Simulations are carried out for three-channel image of Landsat TM sensor. Different cases of learning are considered: using noise-free samples of the test multichannel image, the noisy multichannel image and the pre-filtered one. It is shown that the use of the pre-filtered image for training produces better classification in comparison to the case of learning for the noisy image. It is demonstrated that the best results for both groups of quantitative criteria are provided if a proposed 3D discrete cosine transform filter equipped by variance stabilizing transform is applied. The classification results obtained for data pre-filtered in different ways are in agreement for both considered classifiers. Comparison of classifier performance is carried out as well. The radial basis neural network classifier is less sensitive to noise in original images, but after pre-filtering the performance of both classifiers is approximately the same.

Linking Research and Marketing: A Pharmaceutical Innovation

This chapter describes in very general terms the integration of clinical research and marketing, drawing on books by marketers and recent cases that have come to the public eye. The tools that have been used to accomplish this integration over the past half-century are various, but they all stem from a realization that in a rational world centered on health there need be no intrinsic divide between research and marketing. Most obviously, marketing drugs to physicians, who are professionals acting within their own spheres, depends crucially on research. Physicians respond, and need to see themselves as responding, to fact, figures, and studies. The well-chosen images and vehicles for marketing campaigns must be subordinated to research. Yet at the same time research is a means of increasing sales.

Marketing secondhand goods in late medieval England

Purpose – The purpose of this paper is to identify the main practitioners, goods, customers and locations of secondhand marketing activities in late medieval England. It questions how important was the economic role played by such markets and what was the interaction with more formal market structures?

Design/methodology/approach – A broad range of evidence was examined, covering the period from 1200 to 1500: regulations, court rolls, wills, manorial accounts, literature, and even archaeology. Such material often provided mere scraps of information about marginal marketing activity and it was important to recognise the severe limitations of the evidence. Nevertheless, a wide survey of the available sources can give us an insight into medieval attitudes towards such trade, as well as reminding us that much marketing activity occurred beyond the reach of the surviving documentation.

Findings – Late medieval England had numerous outlets for secondhand items, from sellers of used clothes and furs who wandered the marketplaces to craftsmen who recycled and mended old materials. Secondhand marketing was an important part of the medieval makeshift economy, serving not only the needs of the lower sectors of society but also those aspiring to a higher status. However, it is unlikely that such trade generated much profit and the traders were often viewed as marginal, suspicious and even fraudulent.

Originality/value – There is a distinct lack of research into the extent of and significance of medieval secondhand marketing, which existed in the shadowy margins of formal markets and is thus poorly represented in the primary sources. A broad-based approach to the evidence can highlight a variety of important issues, which impact upon the understanding of the medieval English economy.

Spatial Perception and Cognition in Multichannel Audio for Electroacoustic Music

Listeners experience electroacoustic music as full of significance and meaning, and they experience spatiality as one of the factors contributing to its meaningfulness. If we want to understand spatiality in electroacoustic music, we must understand how the listener’s mental processes give rise to the experience of meaning. In electroacoustic music as in everyday life, these mental processes unite the peripheral auditory system with human spatial cognition. In the discussion that follows we consider a range of the listener’s mental processes relating space and meaning from the perceptual attributes of spatial imagery to the spatial reference frames for places and navigation. When considering multichannel loudspeaker systems in particular, an important part of the discussion is focused on the distinctive and idiomatic ways in which this particular mode of sound production contributes to and situates meaning. These idiosyncrasies include the phenomenon of image dispersion, the important consequences of the precedence effect and the influence of source characteristics on spatial imagery. These are discussed in close relation to the practicalities of artistic practice and to the potential for artistic meaning experienced by the listener.