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

m. The arrangement of the these elements on the focal plane is shown in Fig.4 non noggmm Biii ecc A i:Hnn nomm 3 lóm (em Som] ioi dn DA ber Pret emis Fig.4 Arrangement of sensor elements In multi-spectral band, this 164m sensor aparture corresponds to 16m on the ground, and in panchromatic band 8um sensor apar- ture corresponds to 8m on the ground. 5. SIMULATION The simulation was conducted with a postu- rated point spread function(PSF) of AVNIR : that is the PSF is assumed to be a box type Then the moduration transfer function(MT F) of the sensor element is to be a sinc function. The simulations was done on four problems: (1) Aliasing effect comes from the inherent characteristic of pushbroom scan (2) Degradation of spatial resolution comes from cross talk (3) Atmospheric effect on spatial resolu- tion (4) Motion degradation in along track reso- lution 5.1 Aliasing by inherent sampling process In this simulation, linear zone plate(LZP) was used as the input. This is a modulation of circular zone plate used for TV resolu- tion test. Radiance level of LZP r(x) changes with coordinate x as follows. r(x) = cos ( x2) (11) And the spatial frequency U(x) is expressed in next formula. ul{xls | 12. + 27m) 1223.3) CAM (12) An example is shown in Fig.5 In this Fig. (a) is the power of LZP input. (b) is the out-put power of ideal case in which picth Of sensor element is very short, sampling frequency is very high and no aliasing. (c) is output power of usual case in which pitch of sensor element is equal to the sensor dimension. There is some bump of power in (c) because of aliasing. 2 X 0.04 LEVEL 0.00 0 64 128 192 FREQ. (a) Power of LZP input ] 0.0 | toti o eren, pte fe og Ry qe 5 y 64 128 192 : 256 FREQ. LEVEL 0.00 (b) Power of ideal sampling pitch 2 X 0.06 LEVEL 0.00 (c) Power of usual sampling pitch Fig.5 Aliasing effect of sampling pitch Although this simulation was conducted with a posturat there will output. 5.2 Degrad: Usualy à cross talk LEVEL LEVEL LEVEL LEVEL 0 32.5486 0 0.571429 0 13.7486 0 0.571429 e Fig.6 De,

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