COORDINATE TRANSFORMATION. Lecture 6

Similar documents
LOCAL GEODETIC HORIZON COORDINATES

Terrain correction. Backward geocoding. Terrain correction and ortho-rectification. Why geometric terrain correction? Rüdiger Gens

Navigation coordinate systems

Blacksburg, VA July 24 th 30 th, 2010 Georeferencing images and scanned maps Page 1. Georeference

Geometric Correction of Imagery

Training i Course Remote Sensing Basic Theory & Image Processing Methods September 2011

Fall 2016 Semester METR 3113 Atmospheric Dynamics I: Introduction to Atmospheric Kinematics and Dynamics

POSITIONING A PIXEL IN A COORDINATE SYSTEM

Reduction of Field Observations

Low-Cost Orthophoto Production Using OrthoMapper Software

Fundamentals of Surveying MSS 220 Prof. Gamal El-Fiky

Overview. Image Geometric Correction. LA502 Special Studies Remote Sensing. Why Geometric Correction?

1 of 8 8/17/00 3:06 PM

Chapters 1-4: Summary

Higher Surveying Dr. Ajay Dashora Department of Civil Engineering Indian Institute of Technology, Guwahati

Geometric Rectification of Remote Sensing Images

L6 Transformations in the Euclidean Plane

Exterior Orientation Parameters

Geometric Correction

DEVELOPMENT OF CAMERA MODEL AND GEOMETRIC CALIBRATION/VALIDATION OF XSAT IRIS IMAGERY

COMP ARISON OF DIFFERENT ALGORITHMS TO TRANSFORM GEOCENTRIC TO GEODETIC COORDINATES. Alireza Amiri Seemkooei

Georeferencing in ArcGIS

Image georeferencing is the process of developing a model to transform from pixel coordinates into GIS coordinates such as meters on the ground.

Reference Systems for Surveying and Mapping CTB3310 Surveying and Mapping

Yandex.Maps API Background theory

State Plane Coordinates and Computations using them GISC Spring 2013

Chapters 1 7: Overview

DIGITAL ORTHOPHOTO GENERATION

Modern Surveying Techniques. Prof. S. K. Ghosh. Department of Civil Engineering. Indian Institute of Technology, Roorkee.

Graphics and Interaction Transformation geometry and homogeneous coordinates

2D Object Definition (1/3)

COMP30019 Graphics and Interaction Transformation geometry and homogeneous coordinates

Vectors and the Geometry of Space

CORRECTING RS SYSTEM DETECTOR ERROR GEOMETRIC CORRECTION

University of Technology Building & Construction Department / Remote Sensing & GIS lecture

Geographic Information Systems. using QGIS

Photogrammetry: DTM Extraction & Editing

Real Geodetic Map (Map without Projection) Abstract Keywords: 1. Introduction

Raster Images Processing

High-Precision Positioning Unit 2.2 Student Exercise: Calculating Topographic Change

Georeferencing & Spatial Adjustment

Use of n-vector for Radar Applications

Data handling 2: Transformations

Photogrammetry: DTM Extraction & Editing

L7 Raster Algorithms

Coordinate Transformations for VERITAS in OAWG - Stage 4

MONO-IMAGE INTERSECTION FOR ORTHOIMAGE REVISION

Georeferencing & Spatial Adjustment 2/13/2018

HP-35s Calculator Program Closure 7A

TERRESTRIAL AND NUMERICAL PHOTOGRAMMETRY 1. MID -TERM EXAM Question 4

ANGLES 4/18/2017. Surveying Knowledge FE REVIEW COURSE SPRING /19/2017

The Problem. Georeferencing & Spatial Adjustment. Nature Of The Problem: For Example: Georeferencing & Spatial Adjustment 9/20/2016

Formulas and constants for the calculation of the Swiss conformal cylindrical projection and for the transformation between coordinate systems

Lecture 4: Digital Elevation Models

GEOG 4110/5100 Advanced Remote Sensing Lecture 4

3.1 Units. Angle Unit. Direction Reference

PRECISE GEOREFERENCING OF CARTOSAT IMAGERY VIA DIFFERENT ORIENTATION MODELS

Convert Local Coordinate Systems to Standard Coordinate Systems

Contents of Lecture. Surface (Terrain) Data Models. Terrain Surface Representation. Sampling in Surface Model DEM

Using Coordinate Systems

Vector Algebra Transformations. Lecture 4

Camera Calibration for Video See-Through Head-Mounted Display. Abstract. 1.0 Introduction. Mike Bajura July 7, 1993

RECOMMENDATION ITU-R P DIGITAL TOPOGRAPHIC DATABASES FOR PROPAGATION STUDIES. (Question ITU-R 202/3)

with slopes m 1 and m 2 ), if and only if its coordinates satisfy the equation y y 0 = 0 and Ax + By + C 2

Module 7 Defining Coordinate Systems

Worksheet 3.5: Triple Integrals in Spherical Coordinates. Warm-Up: Spherical Coordinates (ρ, φ, θ)

Camera Model and Calibration

Determination of suitable requirements for Geometric Correction of remote sensing Satellite Images when Using Ground Control Points

Creating Mercator s Map Projection

The Coordinate Transformation Method and Accuracy Analysis in GPS Measurement

Novel Real-Time Coordinate Transformations based on N-Dimensional Geo-Registration Parameters' Matrices

ECE-161C Cameras. Nuno Vasconcelos ECE Department, UCSD

Coordinate Systems Specification

Geoapplications development Control work 1 (2017, Fall)

Chapters 1 9: Overview

Computer Vision. Coordinates. Prof. Flávio Cardeal DECOM / CEFET- MG.

GPS/GIS Activities Summary

9.5 Polar Coordinates. Copyright Cengage Learning. All rights reserved.

Astromechanics. 12. Satellite Look Angle

Rectangular Coordinates in Space

Camera model and multiple view geometry

Lecture 5 2D Transformation

EE 570: Location and Navigation: Theory & Practice

Definition of Basic Polar Data Product

Image and Multidimensional Signal Processing

Chapters 1 5. Photogrammetry: Definition, introduction, and applications. Electro-magnetic radiation Optics Film development and digital cameras

The Role of Coordinate Systems, Coordinates and Heights in Horizontal Datum Transformations

Volume 8: CDB Spatial and Coordinate Reference Systems Guidance

The points (2, 2, 1) and (0, 1, 2) are graphed below in 3-space:

Lecture 6 Sections 4.3, 4.6, 4.7. Wed, Sep 9, 2009

Fundamentals of Structural Geology Exercise: concepts from chapter 2

GEOG 4110/5100 Advanced Remote Sensing Lecture 4

ANALYSIS OF THE GEOMETRIC ACCURACY PROVIDED BY THE FORWARD GEOCODING OF SAR IMAGES

Solar Panel Irradiation Exposure efficiency of solar panels with shadow

Tutorial R E C T I F I C A T I O N. Rectifying Images. Rectifying Images. with. TNTmips. page 1

Module 4. Stereographic projection: concept and application. Lecture 4. Stereographic projection: concept and application

The Problem. Georeferencing & Spatial Adjustment. Nature of the problem: For Example: Georeferencing & Spatial Adjustment 2/4/2014

WHERE THEORY MEETS PRACTICE

Automatic reconstruction of old globes by photogrammetry and its accuracy

ENGI Parametric & Polar Curves Page 2-01

Transcription:

COORDINATE TRANSFORMATION Lecture 6 SGU 1053 SURVEY COMPUTATION 1

Introduction Geomatic professional are mostly confronted in their work with transformations from one two/three-dimensional coordinate system to another. This includes the transformation of geographic coordinates delivered by the surveyor into Cartesian map coordinates or the transformation from one 2D Cartesian (x,y) system of a specific map projection into another 2D Cartesian (x,y) system of a defined map projection. Integration of spatial data into one common coordinate system. 2

Coordinate Systems 2D Geographic Coordinates Latitude and Longitude The most widely used global coordinate system consists of lines of geographic latitude (phi) and longitude (lambda). 3

3D geographic Coordinates Latitude, Longitude and Height h 3D geographic coordinates are obtained by introducing the ellipsoidal height h to the system. The ellipsoidal height (h) of a point is the vertical distance of the point in question above the ellipsoid. It is measured in distance units along the ellipsoidal normal from the point to the ellipsoid surface. 3D geographic coordinates can be used to define a position on the surface of the Earth (point P) 4

Geocentric Coordinates (X,Y,Z) or 3D Cartesian The system has its origin at the mass-centre of the Earth with the X- and Y-axes in the plane of the equator. The X-axis passes through the meridian of Greenwich, and the Z-axis coincides with the Earth's axis of rotation. The three axes are mutually orthogonal and form a right-handed system. Geocentric coordinates can be used to define a position on the surface of the Earth (point P) 5

2D Cartesian Coordinates (X,Y) The 2D Cartesian coordinate system is a system of intersecting perpendicular lines, which contains two principal axes, called the X- and Y-axis. The horizontal axis is usually referred to as the X-axis and the vertical the Y-axis (note that the X-axis is also sometimes called Easting and the Y-axis the Northing). The intersection of the X- and Y-axis forms the origin. 6

2D Polar Coordinates,d Another possibility of defining a point in a plane is by polar coordinates,d. This is the distance d from the origin to the point concerned and the angle a between a fixed (or zero) direction and the direction to the point. The angle a is called azimuth or bearing and is measured in a clockwise direction. It is given in angular units while the distance d is expressed in length units. 7

Transformation: Geographic to Geocentric to Geographic Coordinates 8

Transformation: Geographic to Geocentric Coordinates The conversion from the latitude and longitude coordinates into the geocentric coordinates is rather straightforward and turns ellipsoidal latitude (ϕ) and longitude (λ), and possibly also the ellipsoidal height (h), into X,Y and Z, using 3 direct equations. If the ellipsoidal semi-major axis is a, semi-minor axis b, and inverse flattening 1/f, then: X = (υ+ h) cos ϕ cos λ Y = (υ + h) cos ϕ sin λ Z = [(1- e 2 ) υ + h] sin ϕ where υ is the prime vertical radius of curvature at latitude ϕ and is equal to υ = a /(1 e 2 sin 2 ϕ ) 0.5 e is the eccentricity of the ellipsoid where e 2 = (a 2 b 2 ) / a 2 = 2f f 2 9

Transformation: Geocentric to Geographic Coordinates The inverse equations for the reverse conversion are more complicated and require either an iterative calculation of the latitude and ellipsoidal height, or it makes use of approximating equations like those of Bowring. 10

2D Cartesian Coordinate Transformations 2D Cartesian coordinate transformations can be used to transform 2D Cartesian coordinates (x,y) from one 2D Cartesian coordinate system to another 2D Cartesian coordinate system. The three primary transformation methods are: the Conformal transformation, the Affine transformation, and the Polynomial transformation. 11

Conformal Transformation A conformal transformation is a linear (or first-order) transformation and relates two 2D Cartesian coordinate systems through a rotation, a uniform scale change, followed by a translation. The rotation is defined by one rotation angle ( ), and the scale change by one scale factor (s). The translation is defined by two origin shift parameters (x o,y o ). The equation is: The simplified equation is: X' = s X cos( ) - s Y sin( ) + x o Y' = s X sin( ) + s Y cos( ) + y o X' = ax - by + x o Y' = bx + ay + y o where a=s cos( ) and b=s sin( ). The transformation parameters (or coefficients) are a,b,x o,y o. 12

Affine Transformation An affine transformation is a linear (or first-order) transformation and relates two 2D Cartesian coordinate systems through a rotation, a scale change in x- and y-direction, followed by a translation. The transformation function is expressed with 6 parameters:one rotation angle (a), two scale factors, a scale factor in the x-direction (s x ) and a scale factor in the y-direction (s y ), and two origin shifts (x o, y o ). The equation is: X' = s x X cos(α) - s y Y sin(α) + x o Y' = s x X sin(α) + s y Y cos(α) + y o 13

The simplified equation is: X' = ax - by + x o Y' = cx + dy + y o where the transformation parameters (or coefficients) are a,b,c,d,x o,y o. 14

The diffference between a conformal and an affine transformation is illustrated in the figure below. Both are linear transformations which means that the lines of the grid remain straight after the transformation. The uniform scale change of the conformal transformation retains the shape of the original rectangular grid. The different scale in x and y-direction of the affine transformation changes the shape of the original rectangular grid, but the lines of the grid remain straight. 15

Polynomial Transformation A polynomial transformation is a non-linear transformation and relates two 2D Cartesian coordinate systems through a translation, a rotation and a variable scale change. The transformation function can have an infinite number of terms. The equation is: X' = x o + a 1 X+ a 2 Y+ a 3 XY + a 4 X 2 + a 5 Y 2 + a 6 X 2 Y+ a 7 XY 2 + a 8 X 3 +... Y' = y o + b 1 X+ b 2 Y+ b 3 XY + b 4 X 2 + b 5 Y 2 + b 6 X 2 Y+ b 7 XY 2 + b 8 X 3 +... 16

Polynomial transformations are sometimes used to georeference uncorrected satellite imagery or aerial photographs or to match vector data layers that don't fit exactly by stretching or rubber sheeting them over the most accurate data layer. The figure below shows a grid with no uniform scale distortions. It may occur in an aerial photograph, caused by the tilting of the camera and the terrain relief (topography). An approximate correction may be derived through a high-order polynomial transformation. The displacements caused by relief differences can be corrected using a Digital Elevation Model (DEM). 17

2D Cartesian coordinate transformations are generally used to assign map coordinates (x,y) to an uncorrected image or scanned map. The type of transformation (usually an affine transformation) depends on the geometric errors in the data set. This is illustrated in the below figure (a). After georeferencing, the image can be aligned (rectified) so that the pixels are exactly positioned within the map coordinate system (figure (b)). For each image pixel in the new coordinate system, a new pixel value has to be determined by means of an interpolation from surrounding pixels in the old image. This is called image resampling. 18

The parameters (or coefficients or unknowns) of a conformal, affine or polynomial transformation are usually computed with ground control points (GCPs) or common points (also called tie points) such as corners of houses or road intersections, as long as they have known coordinates in both systems. The number of control points required to determine the 4 parameters (a,b,x o,y o ) of a conformal transformation must be at least 2. An affine transformation requires at least 3 control points to determine the 6 parameters (a,b,c,d,x o,y o ), and 6 control points are required to determine the 12 parameters (x o,a1-a5,y o,b1-b5) of a simple second-order polynomial transformation. 19

Common Coordinate Transformation in Malaysia GDM2000 to PMGSN94 GDM2000 to EMGSN97 GDM2000 to MRT48 GDM2000 to BT68 (Sabah) GDM2000 to BT68 (Sarawak) GDM2000 to MRSOGDM GDM2000 to BRSOGDM GDM2000 to CassiniGDM PMGSN94 to MRT48 EMGSN97 to BT68 (Sabah) EMGSN97 to BT68 (Sarawak) MRT48 to MRSO BT68 to BRSO MRSO to Cassini 20