| Records |
| Author |
Mills, S.; Miller, S. |
| Title |
VIIRS Day/Night Band--Correcting Striping and Nonuniformity over a Very Large Dynamic Range |
Type |
Journal Article |
| Year |
2016 |
Publication |
Journal of Imaging |
Abbreviated Journal |
J. Imaging |
| Volume |
2 |
Issue |
1 |
Pages |
9 |
| Keywords |
Instrumentation |
| Abstract |
The Suomi National Polar-orbiting (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB) measures visible and near-infrared light extending over seven orders of magnitude of dynamic range. This makes radiometric calibration difficult. We have observed that DNB imagery has striping, banding and other nonuniformities—day or night. We identified the causes as stray light, nonlinearity, detector crosstalk, hysteresis and mirror-side variation. We found that these affect both Earth-view and calibration signals. These present an obstacle to interpretation by users of DNB products. Because of the nonlinearity we chose the histogram matching destriping technique which we found is successful for daytime, twilight and nighttime scenes. Because of the very large dynamic range of the DNB, we needed to add special processes to the histogram matching to destripe all scenes, especially imagery in the twilight regions where scene illumination changes rapidly over short distances. We show that destriping aids image analysts, and makes it possible for advanced automated cloud typing algorithms. Manual or automatic identification of other features, including polar ice and gravity waves in the upper atmosphere are also discussed. In consideration of the large volume of data produced 24 h a day by the VIIRS DNB, we present methods for reducing processing time. |
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2313-433X |
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LoNNe @ kyba @ |
Serial |
1400 |
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| Author |
Warrant, E. |
| Title |
Superior vision in nocturnal insects inspires new night vision technologies |
Type |
Newspaper Article |
| Year |
2016 |
Publication |
SPIE Newsroom |
Abbreviated Journal |
SPIE Newsroom |
| Volume |
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Issue |
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Pages |
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| Keywords |
Vision; Animals; Instrumentation |
| Abstract |
Algorithms that dramatically improve the quality of video sequences captured in very dim light have been developed on the basis of the neural mechanisms in nocturnal insects with excellent visual capabilities. |
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| ISSN |
1818-2259 |
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LoNNe @ kyba @; GFZ @ kyba @ |
Serial |
1418 |
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| Author |
Levin, N.; Phinn, S. |
| Title |
Illuminating the capabilities of Landsat 8 for mapping night lights |
Type |
Journal Article |
| Year |
2016 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
182 |
Issue |
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Pages |
27-38 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
Remote sensing of night-lights has been enhanced in recent years with the availability of the new VIIRS Day and Night band, the commercial EROS-B satellite and astronaut photographs from the International Space Station. However, dedicated space-borne multispectral sensors offering radiance calibrated night lights imagery are yet to be launched. Here we examined the capabilities of Landsat 8 to acquire night time light images of the Earth. Examining seven night-time Landsat 8 scenes, we found that brightly lit areas in both urban (Berlin, Las Vegas, Nagoya and Tel-Aviv) and gas flares (Basra, Kuwait) areas were detected in all eight bands of Landsat 8. The threshold for detection of lit areas was approximately 0.4 W/m2/μm/sr in bands 1–5 and 8 of Landsat 8. This threshold level was higher than Landsat dark noise levels, and slightly lower than post launch Landsat 8 OLI band dependent noise equivalent radiance difference levels. Drawing on this, we call on the USGS to plan an annual night-time acquisition of urban and gas flares areas globally, and to enable the performance of the future Landsat 10 to be established in a way that it will be sensitive enough to image the Earth at night, thus performing as Nightsat during the night. |
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0034-4257 |
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no |
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LoNNe @ kyba @ |
Serial |
1452 |
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| Author |
Allik, T.; Ramboyong, L.; Roberts, M.; Walters, M.; Soyka, T.; Dixon, R.; Cho, J. |
| Title |
Enhanced oil spill detection sensors in low-light environments |
Type |
Conference Article |
| Year |
2016 |
Publication |
Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270B (May 17, 2016) |
Abbreviated Journal |
Proc. SPIE 9827 |
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Issue |
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Pages |
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| Keywords |
Instrumentation; Sensors; Cameras; Long wavelength infrared; Short wave infrared radiation; Spectroscopy; Calibration; Remote sensing; Water; Near infrared; Night vision |
| Abstract |
Although advances have been made in oil spill remote detection, many electro-optic sensors do not provide real-time images, do not work well under degraded visual environments, nor provide a measure of extreme oil thickness in marine environments. A joint program now exists between BSEE and NVESD that addresses these capability gaps in remote sensing of oil spills. Laboratory experiments, calibration techniques, and field tests were performed at Fort Belvoir, Virginia; Santa Barbara, California; and the Ohmsett Test Facility in Leonardo, New Jersey. Weathered crude oils were studied spectroscopically and characterized with LWIR, and low-light-level visible/NIR, and SWIR cameras. We designed and fabricated an oil emulsion thickness calibration cell for spectroscopic analysis and ground truth, field measurements. Digital night vision cameras provided real-time, wide-dynamic-range imagery, and were able to detect and recognize oil from full sun to partial moon light. The LWIR camera provided quantitative oil analysis (identification) for >1 mm thick crude oils both day and night. Two filtered, co-registered, SWIR cameras were used to determine whether oil thickness could be measured in real time. Spectroscopic results revealed that oil emulsions vary with location and weathered state and some oils (e.g., ANS and Santa Barbara seeps) do not show the spectral rich features from archived Deep Water Horizon hyperspectral data. Multi-sensor imagery collected during the 2015 USCG Airborne Oil Spill Remote Sensing and Reporting Exercise and the design of a compact, multiband imager are discussed. |
| Address |
Active EO Inc. |
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SPIE |
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English |
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English |
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IDA @ john @ |
Serial |
1475 |
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Zoogman, P.; Liu, X.; Suleiman, R.M.; Pennington, W.F.; Flittner, D.E.; Al-Saadi, J.A.; Hilton, B.B.; Nicks, D.K.; Newchurch, M.J.; Carr, J.L.; Janz, S.J.; Andraschko, M.R.; Arola, A.; Baker, B.D.; Canova, B.P.; Chan Miller, C.; Cohen, R.C.; Davis, J.E.; Dussault, M.E.; Edwards, D.P.; Fishman, J.; Ghulam, A.; González Abad, G.; Grutter, M.; Herman, J.R.; Houck, J.; Jacob, D.J.; Joiner, J.; Kerridge, B.J.; Kim, J.; Krotkov, N.A.; Lamsal, L.; Li, C.; Lindfors, A.; Martin, R.V.; McElroy, C.T.; McLinden, C.; Natraj, V.; Neil, D.O.; Nowlan, C.R.; OSullivan, E.J.; Palmer, P.I.; Pierce, R.B.; Pippin, M.R.; Saiz-Lopez, A.; Spurr, R.J.D.; Szykman, J.J.; Torres, O.; Veefkind, J.P.; Veihelmann, B.; Wang, H.; Wang, J.; Chance, K. |
| Title |
Tropospheric emissions: Monitoring of pollution (TEMPO) |
Type |
Journal Article |
| Year |
2016 |
Publication |
Journal of Quantitative Spectroscopy and Radiative Transfer |
Abbreviated Journal |
Journal of Quantitative Spectroscopy and Radiative Transfer |
| Volume |
186 |
Issue |
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Pages |
17-39 |
| Keywords |
Instrumentation, Remote Sensing |
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| ISSN |
0022-4073 |
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| Notes |
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Approved |
no |
| Call Number |
LoNNe @ kyba @ |
Serial |
1498 |
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