Results 221 to 230 of about 296,860 (257)

Band Selection: Revisited

2013
We have discussed a method of band selection in Chap. 4 where a specific subset of hyperspectral bands was selected from the input images based on the conditional entropy measure. We have also observed that one can achieve almost similar fusion output by using a small fraction of hyperspectral data.
Subhasis Chaudhuri, Ketan Kotwal
openaire   +1 more source

Dynamic band selection for hyperspectral imagery

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
This paper presents a new BS, called dynamic BS (DBS) which revolutionizes the commonly used BS by considering the number of bands to be selected, p as a variable which varies with criterion used for BS and different applications. Its idea is derived from information theory where it assumes that signal sources are considered as source alphabets with ...
Keng-Hao Liu, Chein-I Chang
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A Band Selection Technique for Spectral Classification

IEEE Geoscience and Remote Sensing Letters, 2005
In hyperspectral remote sensing, sensors acquire reflectance values at many different wavelength bands, to cover a complete spectral interval. These measurements are strongly correlated, and no new information might be added when increasing the spectral resolution.
Steve De Backer, Pieter Kempeneers, Walter Debruyn, Paul Scheunders   +3 more
openaire   +1 more source

Laparoscopic Banding: Selection and Technique in 830 Patients

Obesity Surgery, 2002
Laparoscopic adjustable gastric banding (LAGB) with the Lap-Band has been our first choice operation for morbid obesity since September 1993. Results in terms of complications and weight loss are analyzed.830 consecutive patients (F 77.9%) underwent LAGB.
FAVRETTI F, CADIERE GB, SEGATO G, HIMPENS J, DE LUCA M, BUSETTO, LUCA, DE MARCHI F, FOLETTO M, CANIATO D, LISE M., ENZI G.   +10 more
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Integrated Selectivity for Narrow-Band FM IF Systems

ESSCIRC '89: Proceedings of the 15th European Solid-State Circuits Conference, 1989
An 18th-order all-pole continuous-time bandpass filter for IF filtering purposes has been designed and integrated in a 3 ?m CMOS process. Implemented using nine fully-balanced, transconductor-capacitor coupled resonators, the filter features 20 kHz bandwidth at 200 kHz center frequency, 54 dB dynamic range (IM3 ≪ - 40 dB) and consumes 300 ?A from a ...
François Krummenacher, Gilles van Ruymbeke   +1 more
openaire   +1 more source

Band selection procedure for multispectral scanners

Applied Optics, 1994
Advances in high spectral resolution sensors and in data handling capabilities are enabling development of greatly improved remote-sensing devices for resource monitoring, so that design trade-offs are required. A methodology for optimizing selection of spectral bands for multispectral instruments such as those on the LANDSAT series of satellites is ...
openaire   +2 more sources

Adaptive hyperspectral band selection

SPIE Proceedings, 2005
We present a new technique for adaptive band selection from hyperspectral image cubes for detecting small targets using an anomaly detector. The proposed technique ensures the selection of lowest number of spectral bands using Mahalanobis distance, maximum affordable extra noise variance, and Constant False Alarm Rate (CFAR) anomaly detector threshold.
M. S. Alam, S. Ochilov
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Performance evaluation of band AMC using dynamic band selection

2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014
Adaptive Modulation and Coding (AMC) is one of key technologies in 4G system. Band AMC technique enables the Orthogonal Frequency-Division Multiple Access (OFDMA) system to achieve their maximum throughput by efficient utilization of wireless channel characteristics.
openaire   +3 more sources

Band-selective radiofrequency pulses

Journal of Magnetic Resonance (1969), 1991
A theoretical treatment is given of the general problem of designing amplitude-modulated radiofrequency pulses that will excite a specified band of frequencies within a high-resolution NMR spectrum with uniform intensity and phase but with negligible excitation elsewhere.
Helen Geen, Ray Freeman
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Methodology for Hyperspectral Band Selection

Photogrammetric Engineering & Remote Sensing, 2004
While hyperspectral data are very rich in information, processing the hyperspectral data poses several challenges regarding computational requirements, information redundancy removal, relevant information identification, and modeling accuracy.
Peter Bajcsy, Peter Groves
openaire   +1 more source