Images acquired by remote sensing contain radiometric errors caused by variations in the sensor response. In this note, we present a unified treatment of the correction of periodic or nonperiodic errors, which provide...
Images acquired by remote sensing contain radiometric errors caused by variations in the sensor response. In this note, we present a unified treatment of the correction of periodic or nonperiodic errors, which provides some insight into the relation of correction algorithms to the type of radiometric degradation. Successful correction of a NOAA Very High Resolution Radiometer (VHRR) thermal infrared image is demonstrated.
The mean-squared-error measure of quality is used as a basis for a general nearest prototype signal-classification methodology. Canonical signal features for this methodology are identified. A consistency requirement ...
The mean-squared-error measure of quality is used as a basis for a general nearest prototype signal-classification methodology. Canonical signal features for this methodology are identified. A consistency requirement is proposed and used to develop a general approach for determining appropriate class prototypes in discriminant space. It is shown that the class indicator, which is a commonly used class prototype in pattern recognition applications, will often violate the consistency requirement. The general results are used to obtain a solution to a previously posed complexity-performance trade-off problem for matched-filter-tapped-delay-line receivers for serial signal classification in an M -ary data transmission system.
The adaptive adjustment algorithm for a prior art recursive-like noise canceller must incorporate a constraint that prevents convergence to the useless trivial solution. This constraint can also prevent convergence to...
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The adaptive adjustment algorithm for a prior art recursive-like noise canceller must incorporate a constraint that prevents convergence to the useless trivial solution. This constraint can also prevent convergence to the best attainable solution. An alternative to the prior-art hard-constrained recursive-like canceller, that "softens" the constraint by making it adaptive, is proposed.
An approach to the realization of a recursive-like adaptive noise canceller that employs only nonrecursive adaptive filters is presented. This approach is an alternative to prior art that has the advantage of guarante...
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An approach to the realization of a recursive-like adaptive noise canceller that employs only nonrecursive adaptive filters is presented. This approach is an alternative to prior art that has the advantage of guaranteed stability, but the disadvantage of residual signal distortion.
Two-stage noise cancellation is a recently introduced technique for cancelling noise while maintaining minimal signal distortion due to signal leakage into the noise reference. An alternative three-stage approach to n...
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Two-stage noise cancellation is a recently introduced technique for cancelling noise while maintaining minimal signal distortion due to signal leakage into the noise reference. An alternative three-stage approach to noise cancellation that extends applicability from intermittent or slowly fluctuating signals to arbitrary signals is presented. This alternative is viable whenever the signal source is accessible so that a pilot signal can be additively embedded.
In this paper we consider an application of spectral estimation to adaptive restoration of images degraded by additive white noise. Three adaptive techniques of restoration are compared with a non-adaptive technique. ...
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In this paper we consider an application of spectral estimation to adaptive restoration of images degraded by additive white noise. Three adaptive techniques of restoration are compared with a non-adaptive technique. In the non-adaptive technique, the whole image is Wiener filtered by assuming a correlation model for the signal. In the adaptive methods, a) the spectral shape of the signal is kept constant, but the variance is adaptively estimated, b) the power spectrum of each block is adaptively estimated, c) the data is adaptively decorrelated in one dimension and filtered along the other.
The major purpose of this paper is to promote interchange between the fields of pattern recognition and communications, in the realm of statistical classification. The general class of second-order measures of quality...
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The major purpose of this paper is to promote interchange between the fields of pattern recognition and communications, in the realm of statistical classification. The general class of second-order measures of quality for statistical classification is defined. The variety of members in this class that have been used by practitioners or proposed by theorists for numerical pattern-classification and signal waveform-classification are compared and contrasted. The several measures that are the most generally applicable are shown to be either equivalent to each other or characterizable in terms of each other, thereby revealing an inherent unity. For example, the ratio of between-class-scatter to within-class-scatter used in pattern recognition and the ratio of signal-energy to noise-energy used in communications are unified through an identification of signal with between-class-scatter and noise with within-class-scatter. Results on equivalences are stated and proved for waveform classification rather than numerical classification in order to complement the extensive literature on the latter, and to emphasize applicability to communications. This entails introduction of a scatter ratio for waveforms. In a companion paper, second-order measures of quality are used as a basis for a general nearestprototype signal-classification methodology; canonical signal features for this methodology are identified, and a general approach for determining appropriate class prototypes is given. These two papers provide an integrated approach to the design of a complete signal classifier, i.e., feature extraction and discriminant-functional design tailored to fit a minimumdistance discrimination rule.
The use of image quality measures in the design of processing algorithms and equipment is a difficult task. Realistic and useful images are complex and far from the threshold conditions under which psychophysical meas...
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A novel two-stage adaptive signal extractor for intermittent signal applications is presented. If the presence and absence of the signal can be detected, the first stage will adapt only while the signal is absent and ...
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