35 
Thi 
Digital Scnsortcchnology (2 h), Semester 5 
Pk 
Content: + Fundamentals from physics which are necessary to understand electro- ^ Pk 
optical and electronic sensors Plu 
+ Functioning of different sensors and their limitations Sai 
+ Study of signal processing, data transfer to computer, and elementary Pk 
methods of data interpretation • Pk 
+ Some applications and instruments Pk 
DU 
(1) Basics of optics and supplements 
The ideal imaging system and limitations, image enhancement 
(2) Generation and detection of optical radiation 
Photoelectric-effect, interaction of light with atoms and solids, technical DU 
realisation of light sources, coherence ph< 
(3) Analysis of linear systems ev< 
Linear systems, convolution, PSF, MIT and PTF, Fourier transformation, phc 
energy spectrum, noise, cross- and autocorrelation, matched filters It i 
(4) Traditional image sensor systems cor 
The human eye, photographic camera, TV (vidicon, colour) 
(5) Basics of information theory 
Time discretisation, Shannon theorem, digital filters 
(6) Basics of electronics 
Hardware for digitisation, A/D conversion, buffer, computer interface 
(7) Semiconductor- and metal-physics 
Ribbon model, semiconductors (donation, pn-transition, MOS/MIS- 
structures, temperature ranges), metal properties, photomultiplier and 
micro-channel-plates 
(8) Semiconductor image sensors 
CCDs (frame, interline), xy-addressing (CID, MOS), properties and 
characterisation (spectral sensitivity, S/N, linearity, resolution), infrared 
sensor 
(9) Ultrasound 
Doppler-effect, piezo-effect, imaging ultrasound techniques, phased-array 
technique, acusto-optical modulator 
(10) Radar, Lidar and GPS 
Radar (spectrum, reflection cross sections, phased-array, 
pulse-compressionf synthetic aperature, etc.), LIDAR (detection and 
ranging), GPS (signal processing aspects) 
(11) Optical triangulation techniques 
Photoelectrical distance measurement, light sectioning, Moiré 
(12) Optical interference methods 
Michelson-, Twyman-Green-, Mach-Zerhnder-, Hederodyne interfero 
meters, holography, Speckle 
(13) Tomography 
Backprojection, optimal S/N, incomplete projection data 
(14) Scanning Microscopy 
(15) Outlook into the future 
Adaptive optics, semiconductor laser, intelligent image sensors, remote 
sensing and more and more computing 
From this description it becomes clear that digital scnsortcchnology is an excellent 
preparatory course for photogrammetry and remote sensing, and in particular for 
digital photogrammetry.