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:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Poster Session 3-A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: NOVEL SOURCES OF CONTROL FOR AERIAL PHOTOGRAPHY A. P. R. Cooper, R. Swetnam and A. J. Fox

Document type:: Monograph

Structure type:: Chapter

ion and x.y, 1d y in the illumination, imeters o, p nder some n. For many ition can be (2) (3) can also be the Fourier he following (4) (S) ier transform Xf the Fourier m of |(x,y) to : a and b can he surface is " transform of over direct a consistent d, with no gth features. le a low pass inaffected by IS crevasses. control in this half of the strip 1001 op 1108 1101 Numbers of TEST 4 1107 1103 / the points 2006 E To \ used = = + ® 5$ —L-112 + © o> 2005 T e — 1104 * + © S à E o? A = Xyz . : 2004 2002 m No height control in 2003 1106 2001 71105 hey this half of the strip TEST 1 TEST 5 e xm —! 9 $ $ $ + o eo [d 9 L-—L | = 9 : 2 No planimetric or S No planimetric or height control in this height control in this corner of the strip corner of the strip TEST2 TEST 6 AT ® © + © + + + e o ® + $ ® E] da eg There is no height Although the across-strip control in the bottom distribution is better, the of the strip centre is unsupported TEST 3 TEST 7 EIER. es © ® © e 9 ® o9 ; e o 9 9 ® ® L| © a? No height or planimetric The distribution remains similar to test 6, but there is more control Figure 2: The distribution of control points used in various tests This makes the technique insensitive to image noise and speckle. À final advantage is that the process is efficient, taking only a few minutes of computer time. The elevation model created by this technique is arbitrarily scaled and may have a regional tilt. To provide surface elevations, it is necessary to calibrate the elevation model using measured surface heights. In this study, the model was calibrated using the airborne altimetric data, which allowed height values to be generated for regions of the snow-field where there was sufficient surface detail for successful stereo-matching. CONTROL POINTS The techniques and sources described above produced 15 control points, of which 9 had known elevation values. These control points are of three types: surveyed points (1 point), planimetric points from the TM scene (6 points) and heighted points from the shape-from-shading algorithm (8 points); the accuracy of the positions depends on their source. The surveyed points have a nominal accuracy of x11 m (Knight, 1986), but the local geometry of the survey network greatly affects the accuracy of particular points. Because the image is tied to the same survey network as the surveyed points, the correspondence between the image and surveyed points is within one pixel (i.e. within 30 m) and the nominal accuracy with which points on the image can be located is x30 m. As the TM scene covers a much larger extent than the study area, it was possible to verify the co-location of the image with survey points not used in this study. However, difficulties of identifying corresponding points on the TM image and the aerial photographs caused larger errors. Points on the edges of rock outcrops were located more reliably than those at the centre because of the high contrast between snow and rock. Errors may also arise from the different dates of the TM scene and the aerial photography. The extent of thin snow patches may alter substantially from season to season, and there is no means of quantifying this variation. 423

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