GMAT9300 Aerial and Satellite Imaging Systems

Transcription

1 GMAT9300 Aerial and Satellite Imaging Systems Semester 2, 2016 COURSE DETAILS Units of Credit 6 Contact hours 5 Class Mon to BUS130 Workshop Tuesday to QUAD047 and CivEng Lab 201 Course Coordinator and Lecturer Lecturer Demonstrator Emeritus Professor John Trinder j.trinder@unsw.edu.au: CVEN 612: Dr Yincai Zhou y.zhou@unsw.edu.au Brian Donnelly <b.donnelly@iinet.net.au> INFORMATION ABOUT THE COURSE This course is a fourth year undergraduate elective 6UOC course in the B.E. (Surveying) and BE (GIS) programs and a postgraduate programs elective. HANDBOOK DESCRIPTION OBJECTIVES To present the principles of processing aerial and satellite frame and push-broom based digital images as well as close range frame images for determining accurate metric details of extracted objects for input into digital mapping and GIS databases and in close range applications. To present the basic principles of acquisition and processing of lidar data for the determination of DEMs and information extraction TEACHING STRATEGIES A variety of teaching strategies will be included to achieve the optimal teaching and learning outcomes. Major teaching activities in this course are: 1) Weekly lectures and workshops 2) Workshops/laboratory sessions to review the content of lectures and tasks on the processing of digital photogrammetry and airborne lidar 3) Close-range photogrammetry image acquisition and processing of images 4) Processing of UAS images 5) Assignment on digital photogrammetric processing 6) 5 quizzes throughout the semester 7) Final examination GMAT9300 Semester 2, 2016 Course Profile - 1

2 The lectures will provide the foundation for the course. The workshops and laboratory classes will reinforce the basic principles and provide relevance to the lecture materials. Private Study Review lecture slides and notes Do set problems and assignments Reflect on class problems and assignments Download materials from Moodle Consult reference books Lectures Find out what you must learn See methods that are not in the notes Follow worked examples Hear announcements on course changes Workshops Be guided by demonstrators Practice solving set problems Ask questions Assessments (5 quizzes throughout the Demonstrate your knowledge and skills learnt semester, final examination, assignments and reports) Demonstrate higher understanding and problem solving Laboratory Work Hands-on work, to set studies in context The basic tools will be: o Australis Close Range Photogrammetry software o ERDAS Imagine software for digital photogrammetric workstation. o Pix4D for UAV image processing o Airborne lidar data processing. EXPECTED LEARNING OUTCOMES By the end of this session you should be able to: (a) Explain the principles of determining geometry of terrain features and close range objects from digital data based on frame and push-broom imaging (b) Understand and experience processing of analytical photogrammetry for multiple overlapping frame and pushbroom images by photogrammetric bundle adjustment (c) Understand the processes and products of mapping from aerial, unmanned aerial systems (UAS) and satellite images (d) Understand the principles of camera calibration for aerial digital cameras and applications of close range photogrammetry (e) Understand the principles of acquisition and processing of UAS images (f) Understand the acquisition and processing of airborne lidar data and its potentials for extraction of DEMs and other terrain information The student will gain an appreciation of the advantages and disadvantages of the imaging systems and airborne lidar for extraction of information for digital mapping and GIS databases. The student should learn how the imaging and airborne lidar systems can provide accurate metric descriptions of terrain details, as well as the manual and automatic extraction processes used for aerial, satellite and close range imaging systems. For each hour of contact it is expected that you will put in at least 1.5 hours of private study. ASSESSMENT Overall rationale for assessment components and their association with course objectives. The final grade for this course will be based on the sum of the scores from each of the assessment tasks. GMAT9300 Semester 2, 2016 Course Profile - 2

3 Five (5) multiple choice quizzes as listed in the schedule 25% Successful completion of practical close range exercise 5% Successful completion of and UAS computation exercise 5% Successful completion of analytical photogrammetry using 5% ERDAS software Assignment on computation of intersection from 10% image coordinates on 2 photos Successful completion of airborne lidar exercise 5% Final Exam 45% Total ` 100% Note: The lecturer reserves the right to adjust the final scores by scaling if agreed by the Head of School. Details of each assessment component, the marks assigned to it, the criteria by which marks will be assigned, and the dates of submission are set out below. ASSIGNMENTS Exercise 1: Close range survey from photos taken on campus: issued on: 1 August 2016, due for completion on: 16 August This exercise provides students with experience in taking digital photos for close range photogrammetric measurement of objects and processing the images on Australis software, a state-of-the art packaged developed in Australia. The output will be judged by the quality of the definition of the photographed objects as well as of the output displaying the quality orientation of the images. Exercise 2: Computation of block adjustment of UAS images using Pix4D software issued on 22 August 2016, due for completion on 30 August Exercise 3 (in 2 parts): Completion of orthophoto by ERDAS software, issued on: 29 August 2016 due on: 19 September The 2 components of this exercise will be undertaken by groups of 2 students. A comprehensive exercise guide will be provided so that students can undertake the exercise under minimum supervision. Some aspects will need to be undertaken in batch mode because of the time involved in computing the DEM and orthophotos. A demonstrator will be available for assistance at limited times. However, the exercises can be undertaken outside the prescribed lab times. Commencing and completion times for this exercise are indicative only, but it is advisable to adhere to these times so that all work can be completed during the semester. Exercise 3 Part 1: The exterior orientation of a block of digital aerial images will be processed in groups of 2 students. Students will also be required to observe and extract image coordinates of 3 points, together with 3D object coordinates and the exterior orientations X c, Y c Z c ω, φ, κ of the images on which the points appear. Information extracted from this part of Exercise 3 are required for Exercise 4. Exercise Part 2: The second component of this exercise will involve the computation of a DEM over an area of the images and the production of an orthophoto. The final orthophoto must be assessed by staff to demonstrate completion of this exercise. Exercise 4: Computation of object coordinates by intersection: issued on: 5 Sept 2016 due on: 11 October The exercise involves each group of students who undertook exercise 3 to compute the 3D object coordinates of the 3 points that were observed in the first part of Exercise 3. The purpose of this exercise is for students to appreciate the iterative computations that are necessary in solving a non-linear set of 4 equations with 3 unknowns. The time taken for this assignment is estimated to be about 20 hours. Exercise 5: Processing of airborne lidar data: Issued on 11 October 2016, due 18 October GMAT9300 Semester 2, 2016 Course Profile - 3

4 COURSE SCHEDULE The table of lectures and workshops for each week. Lectures will be given by Prof Trinder unless otherwise stated. SEMESTER 2, 2016 Week Beginning Topic Workshops Date 1 25/7/ /8/16 3 8/8/ /8/16 Introduction to subject. Definitions of photogrammetry and remote sensing, applications. Short history. Chapter 1: Sensors and Platforms for Acquisition of Aerial and Satellite Image Data Design of digital aerial cameras, overlaps of aerial photography. Characteristics of aerial and satellite images. Chapter 2: Fundamental Geometry of Single and Overlapping Images. Geometry of whiskbroom imaging systems. Direct and indirect stereovision, instrumentation, epipolar geometry. Principles of the floating mark, elevation determination by parallax equations Photograph coordinate systems Chapter 3: Analytical photogrammetry & Block adjustment Collinearity equations, Principles of analytical photogrammetry; Collinearity equations for computation of block adjustment 1 st quiz Chapter 3: Block adjustment of multiple aerial photographs; orientation of pushbroom scanner images. Chapter 3: Whiskbroom image geometry, perspective projections. Examples of questions on equations for analytical photogrammetry Lecture: Chapter 1 (cont) Whiskbroom sensors, radar image sensors, airborne lidar. Chapter 2: Fundamental Geometry of Single and Overlapping Images. Central projection and orthographic projection. Photograph scale, tilt and relief displacement. Dr Zhou: Instructions on closerange photogrammetry and instruction on software processing Computer lab Commence exercise 1 Dr Zhou: Lab exercise: Processing of close range photos with Australis Workshop: Applications of collinearity eqns. Worked examples on image coordinates and exterior orientation Complete exercise /8/ /08/16 2 nd quiz Dr Zhou acquisition of UAS images and processing Chapter 4 Digital Image Processing for Elevation Determination and Orthophotos - image matching: geometric correction of digital images for orthophoto production; resampling; digital photogrammetric software Commence Exercise 2: Processing of UAS images. Exterior orientation of multiple aerial photos and extraction of image and object coordinate of features 7 5/9/16 3 rd quiz Chapter 5: Mapping procedures from aerial and satellite images Submission exercise 2 Exterior orientation of multiple photos and extraction of image and object coordinate of points for intersection computation. Commence Exercise 4 GMAT9300 Semester 2, 2016 Course Profile - 4

5 8 12/9/ /9/16 Workshop: Worked examples on image coordinate computations and exterior orientation Lecture: Chapter 5 (cont) Chapter 6: Aerial and close-range camera calibration Chapter 7. Close range photogrammetry 4 th quiz Chapter 8. Processing of Airborne Laser Scanning (ALS) Lidar Data Characteristics of lidar data Production of DEM and Orthophoto Commence exercise 3 part 2 Production of DEM and Orthophoto Complete exercise 3 Break 10 3/10/16 Public holiday Prof Trinder: Workshop: Assessment of accuracy of information extraction from aerial images 11 10/10/16 Chapter 8. Processing of Airborne Laser Scanning (ALS) Lidar Data Characteristics of lidar data, filtering, errors, extraction of DEMs and other features) Lab exercise: Operations of airborne lidar software Commence Exercise 5: Submit Exercise /10/16 5 th quiz Chapter 8 (cont) Processing of Airborne Laser Scanning (ALS) Lidar Semi-automatic and automatic semantic information extraction from images Prof Trinder: Review of course content Submission Exercise /10/16 No lecture No class RELEVANT RESOURCES Notes and slides will be provided for all chapters except the final topic on information extraction. These notes should be reviewed before each lecture. The following texts have been listed by the Bookshop, but would have to be ordered for purchase. o Introduction to Modern Photogrammetry, E.M. Mikhail J.S Bethel and J C McGlone John Wiley & Sons Inc 2001 (somewhat out-of-date and hence have not been recommended for purchase) o Photogrammetry Geometry from Images & Laser Scans Karl Kraus Karl (translated from German by Ian A. Harley and Stephen Kyle) de Gruyter Textbook 2007 (a good text but uses different symbology than in the lectures) o Geoinformation 2 nd edition by G. Konecny CRC Press 2014 (This is the most up-to-date text covering photogrammetry and an excellent text. It also covers Remote Sensing and GIS) For further reading and availability (in UNSW Library). Manual of Photogrammetry, Ed C. McGlone, published by American Society for photogrammetry and Remote Sensing 6 th edition (latest) but 5 th edition is also acceptable DATES TO NOTE Refer to MyUNSW for Important Dates available at: PLAGIARISM Beware! An assignment that includes plagiarised material will receive a 0% Fail, and students who plagiarise may fail the course. Students who plagiarise are also liable to disciplinary action, including exclusion from enrolment. GMAT9300 Semester 2, 2016 Course Profile - 5

6 Plagiarism is the use of another person s work or ideas as if they were your own. When it is necessary or desirable to use other people s material you should adequately acknowledge whose words or ideas they are and where you found them (giving the complete reference details, including page number(s)). The Learning Centre provides further information on what constitutes Plagiarism at: ACADEMIC ADVICE For information about: Notes on assessments and plagiarism, School policy on Supplementary exams, Special Considerations, Solutions to Problems, Year Managers and Grievance Officer of Teaching and Learning Committee, CEVSOC. Refer to Academic Advice on the School website available at: GMAT9300 Semester 2, 2016 Course Profile - 6