Dr. Jialin Tian Profile

Dr. Jialin Tian

SPIE Involvement:

Author

Publications (11)

Proceedings Article | 7 May 2016 Paper

Second SNPP Cal/Val campaign: environmental data retrieval analysis

Daniel Zhou, Allen Larar, Xu Liu, Jialin Tian, William Smith, Susan Kizer, Mitch Goldberg

Proceedings Volume 9880, 988008 (2016) https://doi.org/10.1117/12.2223074

KEYWORDS: Environmental sensing, Satellites, Meteorological satellites, Infrared radiation, Statistical analysis, Interferometers, Sensors, Atmospheric sciences, Humidity, Temperature metrology

Read Abstract +

Proceedings Article | 7 May 2016 Paper

Advanced sounder validation studies from recent NAST-I airborne field campaigns

Allen Larar, Daniel Zhou, Xu Liu, Jialin Tian, William Smith

Proceedings Volume 9880, 988004 (2016) https://doi.org/10.1117/12.2222810

KEYWORDS: Satellites, Infrared radiation, Interferometers, Environmental sensing, Sensors, Infrared sensors, Calibration, Spectral resolution, Spatial resolution, Knowledge management

Read Abstract +

Proceedings Article | 21 October 2014 Paper

Ground testing and campaign intercomparisons with the NAST-I airborne FTS

Allen Larar, Daniel Zhou, Xu Liu, William Smith, Luc Rochette, Anna Noe, Don Oliver, Jialin Tian

Proceedings Volume 9241, 924118 (2014) https://doi.org/10.1117/12.2068268

KEYWORDS: Satellites, Sensors, Calibration, Infrared radiation, Clouds, Spectral resolution, Knowledge management, Interferometers, Spatial resolution, Black bodies

Read Abstract +

Proceedings Article | 12 October 2011 Paper

An update on the NAST-I airborne FTS

Allen Larar, William Smith, Daniel Zhou, Xu Liu, Anna Noe, Don Oliver, Michael Flood, Luc Rochette, Jialin Tian

Proceedings Volume 8176, 81761Q (2011) https://doi.org/10.1117/12.898211

KEYWORDS: Satellites, Sensors, Infrared radiation, Clouds, Fourier transforms, Spectral resolution, MODIS, Interferometers, Spatial resolution, Knowledge management

Read Abstract +

Proceedings Article | 3 October 2011 Paper

Principal component noise filtering for NAST-I radiometric calibration

Jialin Tian, William Smith

Proceedings Volume 8176, 81760V (2011) https://doi.org/10.1117/12.898407

KEYWORDS: Calibration, Optical filters, Black bodies, Matrices, Statistical analysis, Spectral calibration, Satellites, Interferometers, Environmental sensing, Iterative methods

Read Abstract +

Proceedings Article | 11 December 2008 Paper

Radiometric modeling and calibration of the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) ground based measurement experiment

Jialin Tian, William Smith, Michael Gazarik

Proceedings Volume 7149, 71490C (2008) https://doi.org/10.1117/12.804949

KEYWORDS: Calibration, Staring arrays, Temperature metrology, Spectroscopy, Fourier transforms, Infrared spectroscopy, Infrared imaging, Data modeling, Humidity, Remote sensing

Read Abstract +

The ultimate remote sensing benefits of the high resolution Infrared radiance spectrometers will be realized with their geostationary satellite implementation in the form of imaging spectrometers. This will enable dynamic features of the atmosphere's thermodynamic fields and pollutant and greenhouse gas constituents to be observed for revolutionary improvements in weather forecasts and more accurate air quality and climate predictions. As an important step toward realizing this application objective, the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) Engineering Demonstration Unit (EDU) was successfully developed under the NASA New Millennium Program, 2000-2006. The GIFTS-EDU instrument employs three focal plane arrays (FPAs), which gather measurements across the long-wave IR (LWIR), short/mid-wave IR (SMWIR), and visible spectral bands. The GIFTS calibration is achieved using internal blackbody calibration references at ambient (260 K) and hot (286 K) temperatures. In this paper, we introduce a refined calibration technique that utilizes Principle Component (PC) analysis to compensate for instrument distortions and artifacts, therefore, enhancing the absolute calibration accuracy. This method is applied to data collected during the GIFTS Ground Based Measurement (GBM) experiment, together with simultaneous observations by the accurately calibrated AERI (Atmospheric Emitted Radiance Interferometer), both simultaneously zenith viewing the sky through the same external scene mirror at ten-minute intervals throughout a cloudless day at Logan Utah on September 13, 2006. The accurately calibrated GIFTS radiances are produced using the first four PC scores in the GIFTS-AERI regression model. Temperature and moisture profiles retrieved from the PC-calibrated GIFTS radiances are verified against radiosonde measurements collected throughout the GIFTS sky measurement period. Using the GIFTS GBM calibration model, we compute the calibrated radiances from data collected during the moon tracking and viewing experiment events. From which, we derive the lunar surface temperature and emissivity associated with the moon viewing measurements.

Proceedings Article | 26 November 2008 Paper

Ultra-spectral remote sounding: background and future

W. Smith, H. Revercomb, H. Woolf, H. Huang, A. Larar, D. Zhou, S. Kireev, J. Tian, X. Liu

Proceedings Volume 7149, 714902 (2008) https://doi.org/10.1117/12.806377

KEYWORDS: Satellites, Spectral resolution, Spectroscopy, Infrared radiation, Fourier transforms, Interferometers, Satellite imaging, Sensors, Detector arrays, Temperature metrology

Read Abstract +

Proceedings Article | 9 October 2008 Paper

Radiometric and spectral calibrations of the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) using principle component analysis

Jialin Tian, William Smith, Michael Gazarik

Proceedings Volume 7106, 710613 (2008) https://doi.org/10.1117/12.800015

KEYWORDS: Calibration, Staring arrays, Spectroscopy, Temperature metrology, Electronics, Spectral calibration, Satellites, Fourier transforms, Sensors, Humidity

Read Abstract +

The ultimate remote sensing benefits of the high resolution Infrared radiance spectrometers will be realized with their geostationary satellite implementation in the form of imaging spectrometers. This will enable dynamic features of the atmosphere's thermodynamic fields and pollutant and greenhouse gas constituents to be observed for revolutionary improvements in weather forecasts and more accurate air quality and climate predictions. As an important step toward realizing this application objective, the Geostationary Imaging Fourier Transform Spectrometer (GIFTS) Engineering Demonstration Unit (EDU) was successfully developed under the NASA New Millennium Program, 2000-2006. The GIFTS-EDU instrument employs three focal plane arrays (FPAs), which gather measurements across the long-wave IR (LWIR), short/mid-wave IR (SMWIR), and visible spectral bands. The raw GIFTS interferogram measurements are radiometrically and spectrally calibrated to produce radiance spectra, which are further processed to obtain atmospheric profiles via retrieval algorithms. The radiometric calibration is achieved using internal blackbody calibration references at ambient (260 K) and hot (286 K) temperatures. The absolute radiometric performance of the instrument is affected by several factors including the FPA off-axis effect, detector/readout electronics induced nonlinearity distortions, and fore-optics offsets. The GIFTS-EDU, being the very first imaging spectrometer to use ultra-high speed electronics to readout its large area format focal plane array detectors, operating at wavelengths as large as 15 microns, possessed non-linearity's not easily removable in the initial calibration process. In this paper, we introduce a refined calibration technique that utilizes Principle Component (PC) analysis to compensate for instrument distortions and artifacts remaining after the initial radiometric calibration process, thus, further enhance the absolute calibration accuracy. This method is applied to data collected during an atmospheric measurement experiment with the GIFTS, together with simultaneous observations by the accurately calibrated AERI (Atmospheric Emitted Radiance Interferometer), both simultaneously zenith viewing the sky through the same external scene mirror at ten-minute intervals throughout a cloudless day at Logan Utah on September 13, 2006. The PC vectors of the calibrated radiance spectra are defined from the AERI observations and regression matrices relating the initial GIFTS radiance PC scores to the AERI radiance PC scores are calculated using the least squares inverse method. A new set of accurately calibrated GIFTS radiances are produced using the first four PC scores in the regression model. Temperature and moisture profiles retrieved from the PC-calibrated GIFTS radiances are verified against radiosonde measurements collected throughout the GIFTS sky measurement period.

Proceedings Article | 24 October 2007 Paper

GIFTS SM EDU Level 1B algorithms

Jialin Tian, Michael Gazarik, Robert Reisse, David Johnson

Proceedings Volume 6748, 674811 (2007) https://doi.org/10.1117/12.737326

KEYWORDS: Calibration, Staring arrays, Sensors, Black bodies, Fourier transforms, Detection and tracking algorithms, Infrared imaging, Spectral calibration, Optical filters, Spectroscopy

Read Abstract +

The Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) Sensor Module (SM) Engineering Demonstration Unit (EDU) is a high resolution spectral imager designed to measure infrared (IR) radiances using a Fourier transform spectrometer (FTS). The GIFTS instrument employs three focal plane arrays (FPAs), which gather measurements across the long-wave IR (LWIR), short/mid-wave IR (SMWIR), and visible spectral bands. The raw interferogram measurements are radiometrically and spectrally calibrated to produce radiance spectra, which are further processed to obtain atmospheric profiles via retrieval algorithms. This paper describes the GIFTS SM EDU Level 1B algorithms involved in the calibration. The GIFTS Level 1B calibration procedures can be subdivided into four blocks. In the first block, the measured raw interferograms are first corrected for the detector nonlinearity distortion, followed by the complex filtering and decimation procedure. In the second block, a phase correction algorithm is applied to the filtered and decimated complex interferograms. The resulting imaginary part of the spectrum contains only the noise component of the uncorrected spectrum. Additional random noise reduction can be accomplished by applying a spectral smoothing routine to the phase-corrected spectrum. The phase correction and spectral smoothing operations are performed on a set of interferogram scans for both ambient and hot blackbody references. To continue with the calibration, we compute the spectral responsivity based on the previous results, from which, the calibrated ambient blackbody (ABB), hot blackbody (HBB), and scene spectra can be obtained. We now can estimate the noise equivalent spectral radiance (NESR) from the calibrated ABB and HBB spectra. The correction schemes that compensate for the fore-optics offsets and off-axis effects are also implemented. In the third block, we developed an efficient method of generating pixel performance assessments. In addition, a random pixel selection scheme is designed based on the pixel performance evaluation. Finally, in the fourth block, the single pixel algorithms are applied to the entire FPA.

SPIE Journal Paper | 1 August 2006

Recovery of overlapped spectral harmonics in multiplex Fabry-Pérot interferometry

Jialin Tian, William Cook

OE, Vol. 45, Issue 08, 085601, (August 2006) https://doi.org/10.1117/12.10.1117/1.2338594

KEYWORDS: Optical filters, Optical engineering, Interferometers, Signal processing, Prototyping, Continuous wavelet transforms, Wavelets, Interferometry, Signal detection, Sensors

Read Abstract +

SPIE Journal Paper | 1 April 2005

Reconstruction of irregularly sampled interferograms in Fourier transform spectrometry with unknown sampling locations

Jialin Tian, Monson Hayes

OE, Vol. 44, Issue 04, 048201, (April 2005) https://doi.org/10.1117/12.10.1117/1.1882355

KEYWORDS: Reconstruction algorithms, Fourier transforms, Evolutionary algorithms, Mirrors, Optical engineering, Spectroscopy, Error analysis, Sensors, Signal to noise ratio, Nonuniform sampling

Read Abstract +

Showing 5 of 11 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years