Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Tuesday, June 7, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session D-2 WG II/2 - Hardware and Software Aspects of GIS - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PERFORMANCE PREDICTION OF AVNIR BY A SIMULATOR HAJIME KOSHIISHI [...] MASAO NAKA [...] YOSHIYUKI KAWATA [...]

Document type:: Monograph

Structure type:: Chapter

The atmosphere has some lens effect and has own MTF characteristic. The image of object on the ground is degraded by this atmosphe- ric effect and the spatial resolution will be decreased in higher frequency domain, and the contrast of image decreases. Another important problem is a decrease of spatial resolution by a cross talk between the sensor elements. This cross talk is large in long wave length, and spatial re- solution power is lower in longer wave length. To do analyze these problems and to evalu- ate the performance of imaging spectrometer , it is necessary to simulate the imaging operation of the spectrometer in detail. 2.0PERATION MODEL OF IMAGING SPECTROMETER To analyze the operational behaviors of imaging spectrometer in detail, the opera- tion model was originated at first. In followings, both of the pushbroom scan and the whiskbroom scan are considered. Here, following symbols are defined. IS is abbreviation of imaging spectrometer. h(x,y) : point spread function(PSF) of IS r(x,y) : radiance distribution of ground s(x,y) : sampling function of the IS g(X,y) : sampling output of the IS go(X,y): hold output of pushbroom IS gu (x,y): hold output of whiskbroom IS d : Spatial coordinate p,q : pitch of sensor element Box(p,1): hold function of width p and height 1. ] : along track flight distance for integ- ration time lo: initial point of the integration H(u,v) : Fourier transform of h(x,y) R(u,v) : Fourier transform of r(x,y) S(u,v) : Fourier transform of s(x,y) G(u,v) : Fourier transform of g(x,y) Go(u,v): Fourier transform of g»(x,y) G,(u,v): Fourier transform of g.(x,y) u,v : spatial frequency Ws, : =1/p, Sampling picth Vs, * : =1/d, sampling picth p:sinzup/ztup : Fourier transform of 108 hold function Box(p,1) l:sinzvl/zvl :Fourier transform of hold function Box(l,1) 2.1 Operation model in cross track In the case of pushbroom scan, the output of linear array is a pulse train and ex- pressed as follows. Co gG)s fr(x) *h(x)] : Xó6(x- np) (1) TL -co And the hold output of pushbroom IS is, Geli ht) «66 -my« N=-0 Box (p, 1) (2) In the frequency domain, these expressions are as follows. G(u)= {R(u) - | H(u) | } # Us S6(u - flus) (3) N=-09 And the Fourier transform of hold output is ber NS eire on ml: n=-0 sin7cup/ up (4) In the case of whiskbroom scan, one sensor element scans continuously. Then the output is. oo g(x)= {r(x} * hix)}.- $ 8(x.- p)dp = r(x) * h(x) (5) In the frequency domain, Gu(u) = R(u) - | H(u) | (6) 2.2 Operation model in along track In the case of pushbroom scan, the signal is integrated for a while and the spatial resolution is degraded. The output g(y) is given by, go(y)= [r(y) * h(y)] * Box(1,l.,1) (7) In frequency domain, g(y) is transformed to Gp (Vv): In À! Sensor . Ther The ot Zu (Y)- In the Gu (V)= This © static The s: syster this © a) f (2) dl (3) s The s: subroi Tab. Title gscel gpsf wvdi: powel cmfp: conv. and move add sin exp sqrt and « The. | is cor

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