I just updated TBC to the 3.70 version. Exist projects seem to adjust ok.
However I've created a couple of new projects using conventional (total station) traverses. When I go to do a least squares adjustment I get an error message that says 'a network adjustment cannot be performed because earth curvature correction has been turned off for terrestrial data. Network adjustment requires curvature correction be turned on ('yes'). I must be blind or something because I cannot find where this setting resides to turn it on. I think I've looked every where there is in the project settings.
Any help would be very much appreciated. Thank you much Lee D. I was digging through the individual observations and had skipped right past the set up point(s). Surprised I had never encountered this before. Now I realize the issue originates in the DC when the.job file is first created. All of our field crews had always had the correction turned on.
I have my data collector set to only record RAW data as measured (none). Then when I reduce the RAW data in the office to generate coordinates, I have my PC software correct for curvature and refraction.
It just so happened that this particular job came in the day after I had updated TBC and was going down the path of thinking the TBC update had changed a global setting somewhere. Anyways problem solved and should have been obvious to me. Thanks again.
Article type: Research Article Authors: ; Affiliations: Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA Triple Ring Technologies, Newark, CA, USA Note: Corresponding author: Wei-Chuan Shih, Department of Electrical and Computer Engineering, University of Houston, 4800 Calhoun Rd., Houston, TX 77204, USA. E-mail: [email protected] Abstract: Raman spectroscopy and microscopy can provide molecular information for complex materials such as biological tissue and cells. In these applications, light-collection throughput is essential for speedy acquisition of high-quality data. To improve throughput, two-dimensional detectors and high numer ical aperture (NA) optical systems have been employed.
However, owing to the out-of-plane diffraction in grating-based dispersive spectrograph, the entrance slit image formed at the detector plane is curved along the vertical direction. Direct vertical binning of individual detector rows without correcting the curvature results in degraded spectral resolution and peak misalignment. We evaluate two software approaches to remove the image curvature after high-throughput data acquisition, with the objective to retain instrument spectral resolution and peak accuracy as if a linear-array detector were used.
Curvature correction and detection are achieved in two steps: calibration of the image curvature using a Raman active material and application of the correction to future curved images. This method has been employed for a high-NA, large CCD Raman spectroscopic system deigned for non-invasive glucose sensing, a medium-NA, medium-size CCD line-scan Raman microscope designed for high-throughput tissue and cellular imaging, and an active-illumination Raman microscope. We show that remarkable improvement in data fidelity can be obtained as assessed by peak misalignment, distribution of data variance, and the waveform of principal component spectra.
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High quality curvature correction is essential for quantitative analysis such as the multivariate calibration, spectral pattern recognition, and peak shift detection based techniques. The software approach is highly flexible for instrument modification. Keywords: Raman spectroscopy, Raman microscopy, SERS, curvature assessment, curvature correction DOI: 10.3233/BSI-140092 Journal:, vol. 359-368, 2014.