Results 121 to 130 of about 636 (172)

Direct measurement of plume velocity to characterize point source emissions. [PDF]

Proc Natl Acad Sci U S A
Eastwood ML, Thompson DR, Green RO, Fahlen JE, Adams TJ, Brandt AR, Brodrick PG, Chlus A, Kort EA, Reuland F, Thorpe AK.   +10 more
europepmc   +1 more source

Hyperspectral Fingerprints of Abdominal and Pelvic Organs. [PDF]

J Imaging
van de Weerd LS, van de Berg NJ, Rijstenberg LL, van de Laar RLO, van Beekhuizen HJ.   +4 more
europepmc   +1 more source

WeedCube: Proximal hyperspectral image dataset of crops and weeds for machine learning applications. [PDF]

Data Brief
Ram BG, Mettler J, Howatt K, Ostlie M, Sun X.   +4 more
europepmc   +1 more source

Remote Sensing Techniques for Water Quality Monitoring: A Review. [PDF]

Sensors (Basel)
Jaywant SA, Arif KM.
europepmc   +1 more source

Evaluating the Performance of Hyperspectral Imaging Endoscopes: Mitigating Parameters Affecting Spectral Accuracy. [PDF]

Biosensors (Basel)
Mazdeyasna S, Arefin MS, Fales A, Leavesley SJ, Pfefer TJ, Wang Q.   +5 more
europepmc   +1 more source

Study on the effect of moisture content on the spectral detection of soluble solids in apricot. [PDF]

Sci Rep
Kang L, Luo H, Ma X, Yu J, Liu H, Liu H, Tong Y.   +6 more
europepmc   +1 more source

Design Method of a Wide-Field, Dual-Slit, Low-Distortion, and High-Sensitivity Hyperspectral Imager. [PDF]

Sensors (Basel)
Li X, Li S, Zhang Z, Feng X, Shen Z, Lu X, Gao M.   +6 more
europepmc   +1 more source

Hyperspectral imaging suggests potential for rapid quantification of fission products in spent nuclear fuel. [PDF]

Sci Rep
Dunphy RD, Parker AJ, Bandala M, Bennet S, Boxall C, Chard P, Cockbain N, Eaves D, Goddard D, Ma X, Taylor CJ, Wilbraham R, Zabalza J, Murray P, Joyce MJ.   +14 more
europepmc   +1 more source

Proximal near-infrared hyperspectral imaging dataset for identifying epicuticular wax loss in Masena blueberries to evaluate post-harvest quality. [PDF]

Data Brief
Faisal S, Thawdar Y, Ooi MP, Reutemann P, Fletcher D, Kuang YC, Abeysekera SK.   +6 more
europepmc   +1 more source

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Identifying degrees of freedom in pushbroom bundle adjustment

ISPRS Journal of Photogrammetry and Remote Sensing, 2011
An analytical method of detecting and enumerating degrees of freedom (DOF) in bundle adjustment (BA) is developed, and used to analyze several scene geometries for pushbroom cameras. While it is well recognized in the photogrammetric community that BA can be poorly constrained, especially with pushbroom imagery, the literature is absent of techniques ...
Michal Jama, Chris Lewis, Dale Schinstock   +2 more
exaly   +2 more sources