Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michael H. Freilich
dblp:31/10420
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Wireless sensing and localization · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › remote sensing
satellite remote sensing |
0.0 | 1 | 1991 | Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer system · Proc. IEEE 1991 |
Environmental and earth informatics › remote sensing
ocean remote sensing |
0.0 | 1 | 1991 | Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer system · Proc. IEEE 1991 |
Wireless sensing and localization
radar signal processing |
0.0 | 1 | 1991 | Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer system · Proc. IEEE 1991 |
Methods — techniques the papers use, named apart from their topics
scatterometry · 0.0digital doppler processing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | The accuracy of preliminary WindSat vector wind measurements: comparisons with NDBC buoys and QuikSCATabstractTwo preliminary, six-month long global WindSat vector wind datasets are validated using buoys and QuikSCAT measurements. Buoy comparisons yield speed and direction root mean square accuracies of 1.4 m/s and 25/spl deg/ for the "NESDIS0" product and 1.3 m/s and 23/spl deg/ for the more recently produced "B1" product from the Naval Research Laboratory. WindSat along- and across-wind random component errors of 0.7-1.0 and 2.6-2.8 m/s (respectively) are larger than those calculated for QuikSCAT in the same period. Global WindSat-QuikSCAT comparisons generally confirmed the buoy analyses. While simple rain flags based directly on WindSat brightness temperature measurements alone are shown to overflag for rain systematically, the advanced "Environmental Data Record" rain flag in the B1 product matches well with Special Sensor Microwave/Imager rain detection frequency and preserves the accuracy of the unflagged vector wind measurements. Michael H. Freilich, Barry A. Vanhoff |
IEEE Trans. Geosci. Remote. Sens. | 1 |
| 1999 | Postlaunch sensor verification and calibration of the NASA ScatterometerabstractScatterometer instruments are active microwave sensors that transmit a series of microwave pulses and measure the returned echo power to determine the normalized radar backscattering cross section (sigma-0) of the ocean surface from which the speed and direction of near-surface ocean winds are derived. The NASA Scatterometer (NSCAT) was launched on board the ADEOS spacecraft in August 1996 and returned ten months of high-quality data before the failure of the ADEOS spacecraft terminated the data stream in June 1997. The purpose of this paper is to provide an overview of the NSCAT instrument and sigma-0 computation and to describe the process and the results of an intensive postlaunch verification, calibration, and validation effort. This process encompassed the functional and performance verification of the flight instrument, the sigma-0 computation algorithms, the science data processing system, and the analysis of the sigma-0 and wind products. The calibration process included the radiometric calibration of NSCAT using both engineering telemetry and science data and the radiometric beam balance of all eight antenna beams using both open ocean and uniform land targets. Finally, brief summaries of the construction of the NSCAT geophysical model function and the verification and validation of the wind products will be presented. The key results of this paper are as follows: The NSCAT instrument was shown to function properly and all functional parameters were within their predicted ranges. The instrument electronics subsystems were very stable and all of the key parameters, such as transmit power, receiver gain, and bandpass filter responses, were shown to be stable to within 0.1 dB. The science data processing system was thoroughly verified and the sigma-0 computation error was shown to be less than 0.1 dB. All eight antenna beams were radiometrically balanced, using natural targets, to an estimated accuracy of about 0.3 dB. Wu-Yang Tsai, James E. Graf, Carroll Winn, James N. Huddleston, Roy Scott Dunbar, Michael H. Freilich, Frank Wentz, David G. Long, W. Linwood Jones |
IEEE Trans. Geosci. Remote. Sens. | 6 |
| 1991 | Spaceborne radar measurement of wind velocity over the ocean-an overview of the NSCAT scatterometer systemabstractScatterometry and scatterometer design issues are reviewed. The design of the NASA Scatterometer (NSCAT) to be flown on the Japanese ADEOS mission is presented. Building on Seasat experience, the NSCAT system includes several enhancements, such as three antenna azimuths in each of two swaths, and an onboard digital Doppler processor to allow backscatter measurements to be colocated everywhere within the orbit. These enhancements will greatly increase the quality of the NSCAT wind data. The ground processing of data is discussed, and scatterometers of the next decade are briefly described.> Firouz M. Naderi, Michael H. Freilich, David G. Long |
Proc. IEEE | 2 |