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by Latitude Carter & Carter Write a 2-3 page essay in which you Summarize the book and your reaction to it Address one of the following 3 questions/issues o In data adjustment we attempt to (a) discover and account for systematic errors in our observations so only random errors remain, (b) define models so they accurately represent the underlying physical system being modeled, and (c) obtain observation data at a precision level which is commensurate with the effects being estimated. Discuss these issues with respect to Chandler s study of the latitude variation. o From the descriptions of Chandler s Almucantar, it seems like it might be possible to build a portable, self- leveling theodolite or total station. Has anyone ever done this or attempted it? Why or why not? Discuss any successes or failures. Is instrument leveling a problem we should worry about? o If you determine latitude from polaris or other observation, star at which point in the calculations is the Chandler wobble accounted for, and from where do you obtain this information? In your chosen career path, speculate on (a) how a similar situation could arise, and (b) how you, as a professional, should react to such apparent but unexplained systematic error. The Measure of All Things by Ken Alder Write a 2-3 page essay in which you Summarize the book and your reaction to it Determine if your can, from the descriptions in the book (written by a history professor!), whether these guys were doing any data adjustment. If so, where, and if not, why not? Would it have helped? Address a scenario in your chosen career path in which you might have data that appears to be inconsistent, but you are prevented by circumstances from reobserving. What would you do? With the benefit of hindsight how should Mechain have reacted with his inconsistent data?
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Purdue >> CE >> 597z (Fall, 2008)
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Purdue >> C E >> 597z (Fall, 2008)
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Purdue >> CE >> 597z (Fall, 2008)
Fiducial Coordinates for p17_i.raw (from text CD) (+110.003, -110.012) mm (-109.990, -110.012) mm Note orientation of the axes that will depend on how the film was scanned x The coordinates come from a calibration report Principal point is at the...
Purdue >> C E >> 597z (Fall, 2008)
Fiducial Coordinates for p17_i.raw (from text CD) (+110.003, -110.012) mm (-109.990, -110.012) mm Note orientation of the axes that will depend on how the film was scanned x The coordinates come from a calibration report Principal point is at the...
Purdue >> CE >> 597z (Fall, 2008)
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Purdue >> C E >> 597z (Fall, 2008)
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Purdue >> CE >> 597z (Fall, 2008)
See annotations along with code, made a few revision to actually make it work! recommend also putting semicolons after most statement to prevent their cluttering up the screen with unneeded numeric output puse = [1;4;7]; I found this worked better ...
Purdue >> C E >> 597z (Fall, 2008)
See annotations along with code, made a few revision to actually make it work! recommend also putting semicolons after most statement to prevent their cluttering up the screen with unneeded numeric output puse = [1;4;7]; I found this worked better ...
Purdue >> CE >> 597z (Fall, 2008)
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Purdue >> C E >> 597z (Fall, 2008)
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Purdue >> CE >> 597z (Fall, 2008)
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Purdue >> C E >> 597z (Fall, 2008)
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Purdue >> CE >> 597z (Fall, 2008)
trav07a.m % trav07a.m % solve first problem of homework 3, fall-07 x=[3915.74;2873.49;2351.8;3356.20;2197.94]; y=[9228.31;8492.34;6328.2;5824.15;5005.78]; % ef %x(3)=2351.78736373034; %y(3)=6328.2048063928; % br x(3)=2351; y(3)=6328; siga_sec=5; sigd...
Purdue >> C E >> 597z (Fall, 2008)
trav07a.m % trav07a.m % solve first problem of homework 3, fall-07 x=[3915.74;2873.49;2351.8;3356.20;2197.94]; y=[9228.31;8492.34;6328.2;5824.15;5005.78]; % ef %x(3)=2351.78736373034; %y(3)=6328.2048063928; % br x(3)=2351; y(3)=6328; siga_sec=5; sigd...
Purdue >> C E >> 503 (Fall, 2008)
Alternate Means of Constraining (via knowledge gained from photogrammetry) a Search: Rather than selecting a point in one image and asking the question, where is the corresponding or conjugate point in the second image?, ask the following question: G...
Purdue >> C E >> 503 (Fall, 2008)
Perspective Geometry Parallel lines (in object space) converge to a vanishing point in the perspective image The vanishing points for all horizontal lines are on the horizon There is a common vanishing point for all vertical lines If the image plane ...
Purdue >> C E >> 503 (Fall, 2008)
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Purdue >> C E >> 503 (Fall, 2008)
LEAST SQUARES IMAGE MATCHING for CE604 J. Bethel 14 June 1997 1 Introduction In the conventional approach to least squares image matching, we model the correspondence between two image fragments by a geometric model six parameter transformation an...
Purdue >> C E >> 503 (Fall, 2008)
Motivation for Rectification, Interpolation & Resampling: We would like to present the building face in a view as if we were looking at it from in front. We want constant scale and angles represented correctly, so we can do simple measurement, design...
Purdue >> C E >> 503 (Fall, 2008)
Homework 5. TIN Generation and Processing Each individual (not group) take your groups spot elevation data and breakline data and generate a TIN and 0.5m contour data set. (leave group data intact and work in your own folder) Merge these contours wit...
Purdue >> C E >> 503 (Fall, 2008)
Anaglyph Gallery Collection of borrowed and locally produced anaglyph stereo pictures Left view displayed with Red, right view displayed with Blue Allows the perception of depth in otherwise flat, 2D images. CE 503 Photogrammetry I CE 503 Photogr...
Purdue >> C E >> 503 (Fall, 2008)
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Purdue >> C E >> 503 (Fall, 2008)
CAMERAS Consumer digital CCD cameras Aerial Cameras Leica RC-30 Zeiss RMK Zeiss RMK in aircraft Vexcel UltraCam Digital (note multiple apertures Lenses for Leica RC-30. Many elements needed to minimize distortion and other aberrations Leica digi...
Purdue >> C E >> 503 (Fall, 2008)
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Purdue >> C E >> 503 (Fall, 2008)
Generation of 3D Models from Stereo-Digitized Vertex Points CE 503 Photogrammetry I Fall 2006, Updated Fall 2007 Roof vertices of Meredith Residence Hall (X-shaped building above) were stereodigitized in Erdas Imagine Stereo Analyst, using the 3D ...
Purdue >> C E >> 503 (Fall, 2008)
CE 603 Photogrammetry II Exp 5-12 from Purdue 3cm block CE 603 Photogrammetry II CE 603 Photogrammetry II CE 603 Photogrammetry II CE 603 Photogrammetry II CE 603 Photogrammetry II Wild /Leica RC-30 Fiducial ID CE 603 Photogrammetry II CE 603 ...
Purdue >> C E >> 503 (Fall, 2008)
CE 503 Fall 06 Homework 1, assigned Aug 28, Due Sep 6 Find the camera calibration report in the notes page of class website (may 2005 photography description) Measure 2 of the corner fiducial marks on photo 5-13 as (line,sample) careful, photosho...
Purdue >> C E >> 503 (Fall, 2008)
Matching: Signal & Feature Search Refinement Limited Exhaustive Constrained Unconstrained Least Squares L1 Similarity Metric Cross Correlation Single Point Many Points Space Domain 1D 2D Frequency Domain Cost Function CE 603 Photogrammetry II ...
Purdue >> C E >> 503 (Fall, 2008)
Homework 5. Stereo 3D Extraction of Buildings From model 3-6, 3-8 in blockfile403.blk Building Names and Assignments Buildings 1 2 3 4 5 6 7 8 9 10 11 12 CA1 CA2 CA3 CA4 CIVL CHME PHYS MSEE ECE ME NWPKG PSHC 13 14 15 16 17 18 19 20 21 22 23 24 PHAR...
Purdue >> C E >> 503 (Fall, 2008)
FGDC-STD-007.3-1998 Geospatial Positioning Accuracy Standards Part 3: National Standard for Spatial Data Accuracy Subcommittee for Base Cartographic Data Federal Geographic Data Committee Federal Geographic Data Committee Department of Agriculture...
Purdue >> C E >> 503 (Fall, 2008)
Image Coordinate Refinement & Camera Calibration Image (2D) and sensor (3D) coordinate system defined with respect to focal plane, optical axis and reference direction Perspective center z Optical axis Measurement system (row,column) defined with re...
Purdue >> C E >> 503 (Fall, 2008)
CE 503 Photogrammetry I Homework 2 Assigned Tuesday 7 September, due Friday, 17 September We want to rectifiy the photograph shown here, and integrate with a coordinate grid and some feature vectors. The product will be in Indiana State Plane West c...
Purdue >> C E >> 503 (Fall, 2008)
Eight Parameter Transformation - Ground XY (plane) to image a0 + a1 X + a2Y r= 1 + c1 X + c2Y c= b0 + b1 X + b2Y 1 + c1 X + c2Y Equations for application of the transformation, ground XY to r,c or row, column in the image. To insure numerical stabi...
Purdue >> C E >> 503 (Fall, 2008)
CE 503 Photogrammetry I - Homework 1 Assigned Monday, 30 August, due Wednesday, 8 September Intensity Column 108 20 110 21 117 22 130 23 122 24 120 25 14 15 73 80 70 45 50 53 50 74 75 50 60 70 70 75 Column 75 52 90 75 85 90 100 76 80 120 150 120 110...
Purdue >> C E >> 503 (Fall, 2008)
Index Mosaic of 1999 Purdue Block: 80% Forward Overlap and 60% Side Overlap (usual is 60/30 !) Many trees show that October is not best time. CE 603 Photogrammetry II Spring 2003 Purdue University HYMAP Data, Summer 1999 CE 603 Photogrammetry ...
Purdue >> C E >> 503 (Fall, 2008)
Ground Control Requirements Purdue Site Control Pt Pairs - 9 (one target, one photo id) Project Site Point Descriptions for Purdue/NGA/Surdex Photo Block May, 2004 The points occur in pairs at 9 locations (18 total). We will ca...
Purdue >> C E >> 503 (Fall, 2008)
Relative orientation, pairwise rectification (normalization or epipolar resampling), L/R channel separation by anaglyph coding. Conjugate points selected for relative orientation: try for z-range Brute force self-calibration ...
Purdue >> C E >> 503 (Fall, 2008)
Exam Review Exam Friday, 29 march, 3:30 Closed book I will return homeworks on Thursday Some short answer definitions, some problems with computation, (bring calculator) Review everything on the course web page, plus textbook chapters 1,2,3, 4(colli...
Purdue >> C E >> 503 (Fall, 2008)
Perspective effects may cause undesirable visual rendering of planar object Recall from perspective, that lines not parallel to the image plane will converge at a vanishing point Architectural photographers encounter this frequently A solution to ...
Purdue >> C E >> 506 (Fall, 2008)
95% 95% ...
Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
Ce506 homework #2 solution 6-sep-02 Problem 1. minimize f ( x, y ) = 2 x 2 + 3 y 2 subject to y = 2 x + 5 (a) Solution by substitution Extract and solve the matrix equation f ( x) = 2 x 2 + 3(2 x + 5 )2 = 14 x 2 + 60 x + 75 df dx = 28 x + 60 = 0 ...
Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
CE 506 02 Homework #3 Solution, Obs. Only using matrix method Problem 3-9 # 1 2 3 4 obs 30-00-20 50-00-00 20-00-00 40-00-20 Problem 3-10 n=4, n 0=3, r=1 1 cond. eqn. Av = f 10 10 sec v= 10 10 #x y n=5, n 0=2, r=3 3 condition equations 1 ...
Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 506 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
Tues. 16 Sept. ...
Purdue >> C E >> 597 (Fall, 2008)
elim_col.m % elim_col.m 8-nov-04 % eliminate a list of columns from a matrix function Bnew = elim_col(B,col_list); [m,n]=size(B); [p,q]=size(col_list); nelim=max([p q]); newcol=n-nelim; if(newcol<1) disp(\'trying to eliminate too many columns\'); pause...
Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
dist5ep.lst dist5ep B= 0.42589 0.90477 0.99905 -0.043544 0.19971 -0.97986 -0.94523 -0.3264 -0.77559 0.63124 f= -2.4229 -0.4799 2.3474 1.1803 -1.0864 W= 7.1111 0 0 7.1111 0 0 0 0 0 0 iter = 1 del = -0.53606 -2.4965 iter = 2 del = 0.0069202 -0.00071653...
Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
% % % % % cep2.m cep2.m 11-nov-04 for given 2x2 covariance and probability P, compute radius yielding P under bivariate normal syntax res=cep2(P,cov); original in d:\\classes\\ce603_03\\ function res=cep2(P,cov) sx2=cov(1,1); sy2=cov(2,2); sxy=cov(1,2...
Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
9/30/08 10:38 AM D:\\classes\\data1_08\\triangle1.m 1 of 1 % triangle1.m 25-sep-08 % observation only solution of nonlinear % triangle problem degrad=57.29577951; l=[10.1;7.4;12.5;36.22/degrad;53.78/degrad]; l0=l; old_l0=l0; sig=[0.1;0.1;0.1;0.005;0....
Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
function varargout = regtool(varargin) % REGTOOL M-file for regtool.fig % REGTOOL, by itself, creates a new REGTOOL or raises the existing % singleton*. % % H = REGTOOL returns the handle to a new REGTOOL or the handle to % the existing singleton*. %...
Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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Purdue >> C E >> 597 (Fall, 2008)
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