Geometry of Aerial photogrammetry. Panu Srestasathiern, PhD. Researcher Geo-Informatics and Space Technology Development Agency (Public Organization)

Similar documents
Chapters 1 9: Overview

TRAINING MATERIAL HOW TO OPTIMIZE ACCURACY WITH CORRELATOR3D

Photogrammetry: DTM Extraction & Editing

Chapters 1 7: Overview

Reality Modeling Drone Capture Guide

Exterior Orientation Parameters

Chapters 1-4: Summary

ifp Universität Stuttgart Performance of IGI AEROcontrol-IId GPS/Inertial System Final Report

Lecture 5. Relief displacement. Parallax. Monoscopic and stereoscopic height measurement. Photo Project. Soft-copy Photogrammetry.

Introduction Photogrammetry Photos light Gramma drawing Metron measure Basic Definition The art and science of obtaining reliable measurements by mean

Chapter 1: Overview. Photogrammetry: Introduction & Applications Photogrammetric tools:

Quality Report Generated with version

Drone2Map: an Introduction. October 2017

REMOTE SENSING LiDAR & PHOTOGRAMMETRY 19 May 2017

Low-Cost Orthophoto Production Using OrthoMapper Software

Quality Report Generated with version

Quality Report Generated with Postflight Terra 3D version

Photogrammetry: DTM Extraction & Editing

Digital Photogrammetric System. Version 5.3 USER GUIDE. Processing of UAV data

Tutorial (Beginner level): Orthomosaic and DEM Generation with Agisoft PhotoScan Pro 1.3 (with Ground Control Points)

Quality Report Generated with Pix4Ddiscovery version

CHAPTER 10. Digital Mapping and Earthwork

Processed :36:54 Average Ground Sampling Distance (GSD) Time for Initial Processing (without report)

Tutorial (Beginner level): Orthomosaic and DEM Generation with Agisoft PhotoScan Pro 1.3 (without Ground Control Points)

Accuracy Assessment of POS AVX 210 integrated with the Phase One ixu150

2. POINT CLOUD DATA PROCESSING

POSITIONING A PIXEL IN A COORDINATE SYSTEM

ADS40 Calibration & Verification Process. Udo Tempelmann*, Ludger Hinsken**, Utz Recke*

Quality Report Generated with Pro version

SimActive and PhaseOne Workflow case study. By François Riendeau and Dr. Yuri Raizman Revision 1.0

Near-Infrared Dataset. 101 out of 101 images calibrated (100%), all images enabled

Phototriangulation Introduction

Extracting Elevation from Air Photos

EVOLUTION OF POINT CLOUD

28 out of 28 images calibrated (100%), all images enabled. 0.02% relative difference between initial and optimized internal camera parameters

ArcMap as a quality assurance tool in Photogrammetry Ron Frederiks. Abstract

THE INTERIOR AND EXTERIOR CALIBRATION FOR ULTRACAM D

Quality Report Generated with Pix4Dmapper Pro version

Drone2Map for ArcGIS: Bring Drone Imagery into ArcGIS. Will

Creating an Event Theme from X, Y Data

LiDAR & Orthophoto Data Report

Quality Report Generated with Pix4Dmapper Pro version

Laptop Generated Quality Report Phase 1 Time 00h:26m:45s Phase 2 Time 02h:30m:06s Phase 3 Time 01h:20m:19s Total Time All phases 04h:17m:10s

1. Introduction. A CASE STUDY Dense Image Matching Using Oblique Imagery Towards All-in- One Photogrammetry

Paris-Le Bourget Airport. 557 out of 557 images calibrated (100%), all images enabled

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

TO Ka Yi, Lizzy 6 May

a Geo-Odyssey of UAS LiDAR Mapping Henno Morkel UAS Segment Specialist DroneCon 17 May 2018

Measurement of Direction: Bearing vs. Azimuth

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

INVESTIGATION OF 1:1,000 SCALE MAP GENERATION BY STEREO PLOTTING USING UAV IMAGES

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

Iowa Department of Transportation Office of Design. Photogrammetric Mapping Specifications

Overview of the Trimble TX5 Laser Scanner

PERFORMANCE ANALYSIS OF FAST AT FOR CORRIDOR AERIAL MAPPING

XXV FIG International Congress KUALA LUMPUR Highly Detailed 3D Modelling of Mayan Cultural Heritage using an UAV

A COMPARISON OF STANDARD FIXED-WING VS MULTIROTOR DRONE PHOTOGRAMMETRY SURVEYS

Relative and absolute calibration of a multihead camera system with oblique and nadir looking cameras for a UAS

APPLICATION AND ACCURACY EVALUATION OF LEICA ADS40 FOR LARGE SCALE MAPPING

Phase One ixa-r-180 Aerial Triangulation

LPS Project Manager User s Guide. November 2009

Producing Ortho Imagery In ArcGIS. Hong Xu, Mingzhen Chen, Ringu Nalankal

PREPARATIONS FOR THE ON-ORBIT GEOMETRIC CALIBRATION OF THE ORBVIEW 3 AND 4 SATELLITES

Comparison of Image Orientation by IKONOS, QuickBird and OrbView-3

ACCURACY ANALYSIS FOR NEW CLOSE-RANGE PHOTOGRAMMETRIC SYSTEMS

3D recording of archaeological excavation

3GSM GmbH. Plüddemanngasse 77 A-8010 Graz, Austria Tel Fax:

Characterizing Strategies of Fixing Full Scale Models in Construction Photogrammetric Surveying. Ryan Hough and Fei Dai

GEOMETRIC ASPECTS CONCERNING THE PHOTOGRAMMETRIC WORKFLOW OF THE DIGITAL AERIAL CAMERA ULTRACAM X

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

GEOREFERENCING EXPERIMENTS WITH UAS IMAGERY

PHOTOGRAMMETRIC SOLUTIONS OF NON-STANDARD PHOTOGRAMMETRIC BLOCKS INTRODUCTION

PART A Three-Dimensional Measurement with iwitness

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

Representative Fraction (RF) is a numerical statement of the scale relationship. e.g., 1:24,000 or 1/24,000

Multiray Photogrammetry and Dense Image. Photogrammetric Week Matching. Dense Image Matching - Application of SGM

Efficient Processing of UAV Projects

Stereoscopic Models and Plotting

MONO-IMAGE INTERSECTION FOR ORTHOIMAGE REVISION

How tall is Nutting Hall?

Single-view 3D Reconstruction

GEOMETRIC AND MAPPING POTENTIAL OF WORLDVIEW-1 IMAGES

Technical Considerations and Best Practices in Imagery and LiDAR Project Procurement

Harnessing GIS and Imagery for Power Transmission Inspection. ESRI European Users Conference October 15, 2015

Sasanka Madawalagama Geoinformatics Center Asian Institute of Technology Thailand

UAV s in Surveying: Integration/processes/deliverables A-Z. 3Dsurvey.si

ACCURACY AND RADIOMETRIC STUDY ON LATEST GENERATION LARGE FORMAT DIGITAL FRAME CAMERAS

MAPPING WITHOUT GROUND CONTROL POINTS: DOES IT WORK?

Introduction to 3D Machine Vision

NATIONWIDE POINT CLOUDS AND 3D GEO- INFORMATION: CREATION AND MAINTENANCE GEORGE VOSSELMAN

GEOMETRIC CONDITIONS OF SPACE IMAGERY FOR MAPPING

Photogrammetry: A Modern Tool for Crash Scene Mapping

A New Protocol of CSI For The Royal Canadian Mounted Police

Ingesting, Managing, and Using UAV (Drone) Imagery in the ArcGIS Platform

A step by step introduction to TopoFlight

COORDINATE TRANSFORMATION. Lecture 6

Quality Report Generated with Pro version

EVALUATION OF WORLDVIEW-1 STEREO SCENES AND RELATED 3D PRODUCTS

PHOTOGRAMMETRIC PROCESSING OF LOW ALTITUDE IMAGE SEQUENCES BY UNMANNED AIRSHIP

Absolute Horizontal Accuracies of Pictometry s Individual Orthogonal Frame Imagery

Transcription:

Geometry of Aerial photogrammetry Panu Srestasathiern, PhD. Researcher Geo-Informatics and Space Technology Development Agency (Public Organization)

Image formation - Recap The geometry of imaging system pixel coordinate system x 1 image coordinate system camera coordinate system (R,T) world coordinate system

Types of aerial photograph Vertical Low oblique High oblique Camera film plane Vertical Aerial Photograph Over Level Terrain Altitude above-groundlevel (AGL) field of view Optical axis Principal point (PP) 90

Vertical Types of aerial photograph Low oblique (no horizon) High oblique

Types of aerial photograph Vertical Low oblique High oblique High-Oblique Aerial Photograph Over Flat Terrain field of view Optical axis Horizon is shown in the photograph 90

Types of aerial photograph In mapping application, vertical photograph is preferred. In some applications, particularly, close range photogrammetry or 3D modeling, oblique photographs are useful.

Scale = f /H = d/d Image scale (vertical image) Representative fraction (e.g., 1:50,000) = 1/(H /f) where f = focal length d = image distance D = ground distance h = terrain elevation H = flying height (h + H ) H = height above terrain = H - h

Image scale (vertical image) Datum Scale = All the points of photograph are assumed to be projected on M.S.L. Datum scale = f/h Average Scale = All the points of photograph are asumed to be having average elevation above m.s.l. Average scale = f/(h ave -h)

Other methods of finding scale of vertical photograph By measuring Ground distance By determining the distance from existing map

Example: Image Scale vs. flying height example If I want a ground coverage of 5km, what flying height should I use? Scale = f /H = d/d where f = 150 mm D = 5000m d = 250mm H =?

Example: Image Scale vs. flying height example If I want a scale of 1/50,000, what flying height should I use? Scale = 1/50,000 = f /H where f = 152 mm H =?

Effect of flying height on ground coverage

Effect of focal length on ground coverage

Ground Coverage Ground coverage, D, of photo frame varies with f and H as f decreases, ground coverage increases e.g. f 1 = 1/2 f 2 D 1 = 2D 2 A 1 = 4A 2 as H increases, ground coverage increases e.g. H 2 = 2H 1 D 2 = 2D 1 A 2 = 4A 1

Ground Sampling Distance The Ground Sampling Distance (GSD) is the distance between two consecutive pixel centers measured on the ground. The higher the altitude of the flight, the bigger the GSD value. The bigger the value of the image GSD, the lower the spatial resolution of the image and the less visible details.

Exercise What Flying Height (m) needed to resolve individual of 15 cm wide x 50 cm long using Sony Alpha NEX-5T at max resolution and 50mm lens? (General Rule of Thumb: GSD at a minimum of ½ the size of smallest feature.)

Relief displacement Relief Displacement exists because photos are a perspective projection.

Relief displacement The scale of an aerial photograph is partly a function of flying height. Thus, variations in elevation cause variations in scale on aerial photographs. Specifically, the higher the elevation of an object, the farther the object will be displaced from its actual position away from the principal point of the photograph (the point on the ground surface that is directly below the camera lens).

Relief displacement

Aerial triangulation Aerial triangulation is the term applied to the process of determining x,y and z Ground coordinate of individual points on measurements from the photograph. The bundle adjustment is performed to solve aerial triangulation problem.

What is Bundle Adjustment? Refines a visual reconstruction to produce jointly optimal 3D structure (x,y and z Ground coordinate of individual points ) and viewing parameters (exterior orientation of camera) bundle refers to the bundle of light rays leaving each 3D feature and converging on each camera center.

What is Bundle Adjustment?

What is Bundle Adjustment? Ground Control Points (GCPs) are used to control the result from bundle adjustment to be in the reference coordinate system.

Bundle adjustment without GCP Without GCP, bundle adjustment can be performed; but the recovered 3D structure and camera orientations are in independent coordinate system. The camera orientation estimated without GCP is called relative orientation. Bundle adjustment with GCP is then called absolute orientation. In other words, relative orientation is the process of orienting images relative to one another. Without GCP, the scale of 3D object is incorrect.

Airborne GPS support Aerial triangulation Airborne GPS support Aerial triangulation is performed in order to get equal precision as usual by less number of ground controls. Airborne GPS is used to locate the exposure positions of camera.

Airborne GPS support Aerial triangulation Airborne GPS support Aerial triangulation is also called Direct geo-referencing. Aerial triangulation using GCP only is also called In-direct geo-referencing.

Making map with UAV Motivation: direct georeferencing!!!!!!

Direct georeferencing: pros Integrated georeferencing is optimal (provides exterior orientation with best accuracy and reliability). Bundling sensor and direct georeferencing on one platform can increase efficiency (ease of deployment, speed of delivery, ) Indirect georeferencing is not always possible or feasible too low redundancy (no control points ) Singularity in system of observation equations (image taken over flat scene) when performing non-linear optimization.

Direct georeferencing: cons Direct georeferencing method needs to be adapted to environment (indoor positioning, etc.) Additional costs and complexity because of additional sensors. Mounting and possibly other as additional unknowns (constant?)

Where is the exterior orientation stored? To perform direct geo-referencing, the GPS/INS information (exterior orientation parameters) must be imported to processing software. There are two ways to store exterior orientation parameters: EXIF data Image geolocation file e.g., CSV text file

Sensors EXIF Data The purpose of a camera is to take a picture, and EXIF data tells a story about the camera and where it was taking pictures.

Image geolocation file If the image EXIF data contains the image position, then the geolocation file is not needed as processing software automatically reads the geolocation from the EXIF data. If the EXIF data does not contain the image GPS position, then a geolocation file is needed. The files that can be imported in are: Latitude, Longitude, Altitude (Geo-graphic coordinate system) X, Y, Z (Projected coordinate system).

Image geolocation file Example: WGS84 geographic coordinates imagename,latitude [decimal degrees],longitude [decimal degrees],altitude [meter] IMG_3165.JPG,46.2345612,6.5611445,539.931234 IMG_3166.JPG,46.2323423,6.5623423,529.823423 The latitude value is between -90 and 90. The longitude value is between -180 and 180 Example: WGS84 geographic coordinates including orientation imagename,latitude[decimal degrees],longitude [decimal degrees],altitude [meter],omega [degrees], phi [degrees], kappa [degrees] IMG_3165.JPG,46.2345612,6.5611445,539.931234,1.698,4.392,90.859 IMG_3166.JPG,46.2323423,6.5623423,529.823423,4.571,2.977,94.714

Photo overlap Endlap Endlap, also known as forward overlap, is the common image area on consecutive photographs along a flight strip. This overlapping portion of two successive aerial photos, which creates the three-dimensional effect necessary for mapping, is known as a stereomodel or more commonly as a model.

Photo overlap Endlap D = Sensor size H = Flying height f = Focal length L = Percent overlap E = distance between exposure stations

Photo overlap Sidelap Sidelap, sometimes called side overlap, encompasses the overlapping areas of photographs between adjacent flight lines. It is designed so that there are no gaps in the threedimensional coverage of a multiline project

Photo overlap Sidelap D = Sensor size H = Flying height f = Focal length L = Percent overlap C = distance between flight line center

Number of flight lines Where NL = number of flight line W = width of study area C = Distance between flight line 2 = extra flight lines (1 per side)

Number of photos per flight line Where NP = number of photos per flight line FL = Length of flight line E = Distance between exposure station 4 = extra photos (2 per end of flight line)