Variability of sonic boom signatures with emphasis on the extremities of the ground exposure patterns
Sonic boom pressure signature variations as function of distance to ground due to atmospheric refraction
Harvey H. Hubbard↗
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Signature in the interplanetary medium for substorms
Substorm signature in interplanetary medium relating southward component with solar wind energy transformation
Arnoldy, R. L.↗
Radar signature and systems studies at Kansas University
The radar signature and systems studies described have concentrated in two areas: octave bandwidths radar spectrometry using a truck-mounted system, and scatterometry using primarily the 13.3 GHz system on aircraft. In addition, the results of the experiments to date have been synthesized into a pair of representative designs for spacecraft radar systems: one for small spacecraft and one for large spacecraft.
Moore, R. K.↗
Calculation of sonic boom signatures by bicharacteristic methods.
An improved method is described for correcting the zeroth order (free stream) characteristics to obtain a uniformly valid first order solution to the exact equations of motion for a compressible fluid. The method is based on constructing first order bicharacteristic lines from the system of ordinary differential equations belonging to the exact equation for the characteristic surface. Calculated sonic boom signatures are compared with experiments conducted at Langley Research Center on a cone-cylinder at Mach numbers 2.96, 3.83, and 4.63. Theory and experiment agree well over the entire Mach number range.
Davis, S. S.↗
Oil pollution signatures by remote sensing.
Study of the possibility of developing an effective remote sensing system for oil pollution monitoring which would be capable of detecting oil films on water, mapping the areal extent of oil slicks, measuring slick thickness, and identifying the oil types. In the spectral regions considered (ultraviolet, visible, infrared, microwave, and radar), the signatures were sufficiently unique when compared to the background so that it was possible to detect and map oil slicks. Both microwave and radar techniques are capable of operating in adverse weather. Fluorescence techniques show promise in identifying oil types. A multispectral system will be required to detect oil, map its distribution, estimate film thickness, and characterize the oil pollutant.
Catoe, C. E.↗
Wind tunnel pressure signatures for a .016 scale model of the Apollo command module
Pressure signatures were measured at roll angles ranging from 0 to 180 deg for a .016-scale model of the Apollo Command Module spacecraft at 25 deg angle of attack. The test Mach numbers ranged from 1.50 to 10.02.
Mendoza, J. P.↗
Water quality parameter measurement using spectral signatures
Regression analysis is applied to the problem of measuring water quality parameters from remote sensing spectral signature data. The equations necessary to perform regression analysis are presented and methods of testing the strength and reliability of a regression are described. An efficient algorithm for selecting an optimal subset of the independent variables available for a regression is also presented.
White, P. E.↗
Study of air pollutant signatures for remote sensing
Experimental results are presented for a possible new, indirect signature for air pollutants: the spectral reflectivity of plant leaves. Sub-visual changes (up to 160%) in the spectral reflectivity of bean and tobacco leaves were observed over the range 475nm to 750nm in response to SO2 exposures such as 2ppm/4hrs or 4ppm/16hrs, or to O3 exposures such as 90pphm/21hrs or 7.5pphm/292hrs. Such changes might be observed from a satellite using either laser or sunlight as the illumination source. Inasmuch as the plants appear to become acclimated to some of these exposure doses, environmental changes may be most important for this type of plant-response.
Nowak, W. B.↗
Analysis of multispectral signatures and investigation of multi-aspect remote sensing techniques
Two major aspects of remote sensing with multispectral scanners (MSS) are investigated. The first, multispectral signature analysis, includes the effects on classification performance of systematic variations found in the average signals received from various ground covers as well as the prediction of these variations with theoretical models of physical processes. The foremost effects studied are those associated with the time of day airborne MSS data are collected. Six data collection runs made over the same flight line in a period of five hours are analyzed, it is found that the time span significantly affects classification performance. Variations associated with scan angle also are studied. The second major topic of discussion is multi-aspect remote sensing, a new concept in remote sensing with scanners. Here, data are collected on multiple passes by a scanner that can be tilted to scan forward of the aircraft at different angles on different passes. The use of such spatially registered data to achieve improved classification of agricultural scenes is investigated and found promising. Also considered are the possibilities of extracting from multi-aspect data, information on the condition of corn canopies and the stand characteristics of forests.
Malila, W. A.↗
A Kalman filter approach to adaptive estimation of multispectral signatures
The signatures of remote sensing data from agricultural crops exhibit significant non-stationarity, so that the performance of fixed parameter classifiers degenerates with time and distance from the initial training data. A class of adaptive decision-directed classifiers are being developed, based on Kalman filter theory. Limited results to date on two data sets indicate approximately a 25 to 40% reduction in rates of misclassification.
Crane, R. B.↗
Wind tunnel pressure signatures for a 0.0041-scale model of the space shuttle orbiter
Pressure signatures for a 0.0041-scale model of a space shuttle orbiter were measured in a wind tunnel at Mach numbers from 1.30 to 3.02. The model was tested at 10 deg and 25 deg angle of attack and roll angles were varied from 0 deg to 180 deg in 30 deg increments. Comparisons of sonic boom levels were made for a delta wing configuration and for the space shuttle orbiter which were assumed to have identical lengths and entry trajectories. The sonic boom levels for the orbiter were slightly higher than those for the delta wing orbiter. An example is presented showing that the existing data base for the delta wing orbiter can be used to predict the ground level sonic booms for the orbiter.
Mendoza, J. P.↗
Methods of extending signatures and training without ground information
Methods of performing signature extension, using LANDSAT-1 data, are explored. The emphasis is on improving the performance and cost-effectiveness of large area wheat surveys. Two methods were developed: ASC, and MASC. Two methods, Ratio, and RADIFF, previously used with aircraft data were adapted to and tested on LANDSAT-1 data. An investigation into the sources and nature of between scene data variations was included. Initial investigations into the selection of training fields without in situ ground truth were undertaken.
Henderson, R. G.↗
Sonic boom pressure signatures for the space shuttle launch vehicle
Sonic boom pressure signatures were measured in supersonic and hypersonic wind tunnels for models of the space shuttle launch vehicle at 0 deg angle of attack with and without solid body simulations of the exhaust plumes. Data were measured at 30 deg increments in roll angle from 90 deg to 180 deg at Mach numbers from 3.02 to 5.56.
Mendoza, J. P.↗
Signatures of various earth surfaces measured by the Nimbus-5 microwave spectrometer
The Nimbus-5 Meteorological Satellite is equipped with a 5-channel microwave spectrometer. The two lowest channels (22.2 and 31.4 GHz) provide information on surface brightness temperature. Distinctive microwave signatures can be observed for snow, land ice, and sea ice in both polar regions. Some information on subsurface temperatures can be gained for desert areas.
Kunzi, K. F.↗
Spectral reflectance signatures of coastal pollutants
The author has identified the following significant results. Remote sensing from satellites and aircraft was combined with ground truth collected from ships in an attempt to classify coastal and estuarine water types by their spectral reflectance signatures. During ocean waste disposal operations 40 miles off the Delaware coast, water samples were collected and spectroradiometric measurements conducted in the field to provide ground truth for aircraft and LANDSAT overpasses with multispectral scanners.
Klemas, V.↗
Further wind tunnel measurements of pressure signatures for a 0.0041-scale model of the space shuttle orbiter
Pressure signatures for a 0.0041 scale model of the space shuttle orbiter were measured in the wind tunnel at Mach numbers from 1.3 to 4.0. The angles of attack were 0 deg, 10 deg, 20 deg and 30 deg. At each angle of attack the model was rolled from 0 deg to 120 deg in 30 deg increments.
Mendoza, J. P.↗
Acreage estimation, feature selection, and signature extension dependent upon the maximum likelihood decision rule
A maximum likelihood estimation technique is used for the analysis of agricultural remote sensor data. The m-class probability of misclassification is estimated using unlabeled test samples and labeled training samples. A bound on the variance of a proposed unbiased estimator of the m-class probability of error is derived. The particular case in which each class density is assumed to be a mixture of multivariate normal densities is considered. The extension of spectral signatures in space and time is discussed.
Quirein, J. A.↗
Improved method of signature extraction
System promises capability of rapidly processing large amounts of data generated by currently available and planned multispectral sensors, such as those utilized on aircraft and spacecraft. Techniques developed for system, greatly decrease operator time required for signature extraction from multispectral data base.
Christianson, D.↗