1. 2 Campbell, Chapters 3 (3.1-3.8) and 5 (5.1 to 5.11) Unless otherwise noted, all images in this lecture are from Jensen, J.R., Remote Sensing of the.

Slides:



Advertisements
Similar presentations
Aerial Photography and Photogrammetry
Advertisements

GEOGRAPHIC INFORMATION SYSTEM (GIS) AND REMOTE SENSING Lecture 4 Zakaria Khamis.
Interpreting land surface features SWAC module 3.
1 Lecture 4 Photographic Systems, Aerial Photography, and Image Interpretation 11 September 2008.
Resolution Resolving power Measuring of the ability of a sensor to distinguish between signals that are spatially near or spectrally similar.
Light Chapter 19.
Remote sensing in meteorology
Geography 1010 Remote Sensing. Contact Information Dr. Craig Coburn –Office: University Hall C-854 –Phone: – –Office.
Geographic Information Systems GIS Output. 1. Color Theory Additive primaries blue, green, and red Subtractive primaries yellow, cyan, and magenta.
Lecture 20: Introduction to Remote Sensing Principles By Weiqi Zhou University of Vermont Using GIS-- Introduction to GIS Thanks are due to Austin.
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
CS 128/ES Lecture 9b1 Photogrammetry & Image Analysis.
January 20, 2006 Geog 258: Maps and GIS
Lecture 2 Photographs and digital mages Friday, 7 January 2011 Reading assignment: Ch 1.5 data acquisition & interpretation Ch 2.1, 2.5 digital imaging.
1 Subject Database Management Information System & Applications of Remote sensing and GIS “Introduction to Image Interpretation” Topic: Dated: 21/10/14.
Image Formation Mohan Sridharan Based on slides created by Edward Angel CS4395: Computer Graphics 1.
More Remote Sensing Today- - announcements - Review of few concepts - Measurements from imagery - Satellites and Scanners.
Ch 25 1 Chapter 25 Optical Instruments © 2006, B.J. Lieb Some figures electronically reproduced by permission of Pearson Education, Inc., Upper Saddle.
Aerial photography and satellite imagery as data input GEOG 4103, Feb 20th Adina Racoviteanu.
Remote Sensing 2012 SUMMER INSTITUTE. Presented by: Mark A. Van Hecke National Science Olympiad Earth-Space Science Event Chair Roy Highberg North Carolina.
EG1106: GI: a primer Field & Survey data collection 19 th November 2004.
Photogrammetry and Multispectral Remote Sensing Lecture 3 September 8, 2004.
Computer Graphics I, Fall 2008 Image Formation.
1 Image Formation. 2 Objectives Fundamental imaging notions Physical basis for image formation ­Light ­Color ­Perception Synthetic camera model Other.
Remote Sensing and Image Processing PDF Aerial Photography and Photogrammetry.
Remote Sensing What is Remote Sensing? What is Remote Sensing? Sample Images Sample Images What do you need for it to work? What do you need for it to.
Photography Basics… A film camera works because certain silver salts (silver halides) react to exposure to light energy by turning black… silver halide,
Elements of Art (pages 32-36)
Aerial Photographs and Remote Sensing Aerial Photographs For years geographers have used aerial photographs to study the Earth’s surface. In many ways.
Basics of Remote Sensing & Electromagnetic Radiation Concepts.
Remote Sensing Geometry of Aerial Photographs
David E. Pitts CSCI 5532 Overview of Image Processing by David E. Pitts Aug 22, 2010 copyright 2005, 2006, 2007, 2008, 2009, 2010.
Aerial Photography.
Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Introduction to Remote Sensing Images By:
Introduction to the Principles of Aerial Photography
Intelligent Vision Systems Image Geometry and Acquisition ENT 496 Ms. HEMA C.R. Lecture 2.
7 elements of remote sensing process 1.Energy Source (A) 2.Radiation & Atmosphere (B) 3.Interaction with Targets (C) 4.Recording of Energy by Sensor (D)
Lecture 3 The Digital Image – Part I - Single Channel Data 12 September
Remote Sensing Data Acquisition. 1. Major Remote Sensing Systems.
Chapter 6 Photogrammetry. n Perspective (central) projection: aerial photographs vs. maps n Co-linearity equation n Photogrammetric orientation n Digital.
Geographic Information Systems GIS Output. 1. Color Theory ► Additive primaries blue, green, and red ► Subtractive primaries yellow, cyan, and magenta.
Chapter 8 Remote Sensing & GIS Integration. Basics EM spectrum: fig p. 268 reflected emitted detection film sensor atmospheric attenuation.
Basics of Imaging systems Lecture 1 prepared by Rick Lathrop 8/02.
Digital Image Processing NET 404) ) Introduction and Overview
Cameras 1 Cameras. Cameras 2 Introductory Question If you’re building a camera and want to make a larger image (a telephoto lens) you should: If you’re.
Cameras. Question: If you’re building a camera and want to make a larger image (a telephoto lens) you should: 1.increase the diameter of the lens 2.decrease.
1 Angel: Interactive Computer Graphics4E © Addison-Wesley 2005 Image Formation.
Applying Pixel Values to Digital Images
Intelligent Vision Systems Image Geometry and Acquisition ENT 496 Ms. HEMA C.R. Lecture 2.
Fundamentals of Digital Images & Photography. Pixels & Colors The pixel (a word invented from "picture element") is the basic unit of programmable color.
Introduction to Aerial Stereo Photographs
Electro-optical systems Sensor Resolution
1 Photointerpretation. 2 3 Elements of Photography Photographic Films an undeformable plastic film coated with a layer of light sensitive material (emulsion)
Image Elements Used in Photo Interpretation
Learning Objectives I can compare photographs with other types of remote sensing images. I can describe the uses & importance of the global positioning.
TYPES OF AERIAL PHOTOGRAPHY
ERT247 GEOMATICS ENGINEERING
Aerial Images.
Angel: Interactive Computer Graphics5E © Addison-Wesley 2009
Remote Sensing What is Remote Sensing? Sample Images
GS 5102: Introduction to Remote Sensing
Geog 462: Digital Cartography: Graphic Variables
Lecture 2 Photographs and digital mages
Angel: Interactive Computer Graphics4E © Addison-Wesley 2005
Image Formation Ed Angel
University of New Mexico
Remote sensing in meteorology
Early History of Photography: Review Dates to Know
Remote Sensing and Image Processing PDF Aerial Photography and Photogrammetry.
Presentation transcript:

1

2

Campbell, Chapters 3 ( ) and 5 (5.1 to 5.11) Unless otherwise noted, all images in this lecture are from Jensen, J.R., Remote Sensing of the Environment - An Earth Resource Perspective, 544 pp., Prentice Hall, Upper Saddle River, NJ,

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 4

5 Source of image from the internet

6

7

Joseph Niepce – 1826 Created first photographic image in France Used a camera obscura, exposed the scene for 8 hours Photographic plate was made of pewter and was coated by bitumen suspended in lavender oil Bitumen is a tar like substance found in crude oil – today it is used in roofing tar and asphalt pavement When exposed to light, bitumen/oil hardened and adhered to the pewter plate Non-hardened areas washed away 8

9

10 Emulsion layer Base layer Anti-halation layer Figure 5

Emulsion layers – contain light sensitive particles (silver-halide crystals) suspended in gelatin Base or support material (polyester or cellulose acetate) Anti-halation layer – absorbs all light that gets through first two layers to prevent reflection back into the emulsion 11

Based on three primary colors (red, green, blue) When added together, these three primary colors produce white light ACT is the basis for human vision and photographic systems 12

Color films have 3 emulsion layers – filters are used to expose the emulsion layers to different regions of the EM spectrum 0.4 to 0.5  m: blue region of the EM spectrum 0.5 to 0.6  m: green region of the EM spectrum 0.6 to 0.7  m: red region of the EM spectrum 0.7 to 1.1  m: near infrared region of the EM spectrum 13

14

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 15

16 Aerial metric camera Figure 6

Throughout most of the 20 th century, aerial camera systems used film to record information Aerial cameras used black and white, color and color-IR film to record data This changed in 1986, when Kodak invented the first charged couple device that was capable of sensing and recording an entire photographic image The first digital camera recorded 1.4 million picture elements (pixels) in a 5 by 7 inch format Now, digital aerial camera systems are quite common 17

18 Digital Aerial Camera System from Vexcel Corp.

Focal length (f) – is the distance, when the lens is focused on infinity from the center of the lens to the film or focal plane where the image is in focus Wide angle lenses, have short focal lengths Telescopic lenses have longer focal lengths Area of coverage ~ 1 / f 19

20 One can alter the focal length of the lenses used in a camera system to vary the area of coverage of the system Figure 9

21 Relationship between aircraft altitude and ground coverage – two ways to change FOV a.Changing the focal length of the camera lens will alter the angular coverage of the system – as the focal length gets smaller, the angular coverage increases b.As the angular cover increases (focal length decreases), the FOV increases Figure 23

22 Relationship between aircraft altitude and ground coverage – two ways to change FOV Changing the aircraft altitude will alter the ground coverage of the system

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 23

24

25

26

Vertical Photograph Camera optical axis < 3° off vertical Low-Oblique Camera optical axis > 3° off vertical Horizon not in image High Oblique Camera optical axis > 3° off vertical Horizon in image 27

28 SR-71 World’s Fastest Aerial Camera Platform

29

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 30

The science of making accurate measurements by means of aerial photography Requires development of specific skills 31

Analogue photogrammetry Visual interpretation using hard copy (photographs or transparencies) Digital or analytical photogrammetry Computer analysis on digitized photography 32

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 33

The examination and analysis of images for the purpose of identifying objects and features and judging their importance 34

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 35

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 36

37

38 Image from - AVHRR Image of land and sea surface temperature from thermal IR radiance measurements Red – warmest Orange Yellow Green Blue Purple - coldest

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 39

While human vision provides a unique perspective, it is a limited perspective Humans primarily observe the world from a limited, ground-level view –vertical perspective Aerial platforms allow the viewing of an area from a more synoptic, horizontal perspective 40

41

42

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 43

44

45 Lillesand and Kiefer 2000 Figure 4.32

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 46

Can create a 3-D view using aerial photographs collected from slightly different vantage points Using a stereoscope, allows an interpreter to view the earth’s surface in three dimensions Extremely valuable for interpreting landforms and other 3-D features Stereoscopic imagery can be processed to generate accurate 3-d maps (e.g., accurate in the x,y,z dimensions) of the earth’s surface 47

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 48

49

1. Represents the fundamental process for human (visual) analysis of remote sensing imagery 2. Provides a unique spatial observation perspective 3. Provides information that cannot easily be obtained in other ways 4. Provides ability to do accurate mapping, including 3-D information 5. Can provide information beyond our visual perception range 6. Allows for change detection analyses of specific regions where satellite data are not available 50

51 Lillesand and Kiefer 2000 Figure 4.26 Monitoring Land Cover Change

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 52

Analysis of the cartographic information in the image Examination of image characteristics 53

Analysis of image characteristics Size (length, width, perimeter, area) Shape Shadow Tone/color Pattern Texture Site/situation/association 54

55

56

57 Shape

58 Shape

59

60 The presence of a shadow provides important information on the relative positions of objects

61

62 Lillesand and Kiefer 2000 Figure 4.41

1. Provide information on relative height 2. Contain indirect information on geometric characteristics of some features 3. Provide a unique means for interpreting topographic features 4. Areas that are in shadows lack information 63

64 BW photograph collected with Near infrared film Image tone – variations in image tone (e.g., the grey scale from white to black) allow for discrimination of different forest cover types Dark area is a pine stand and the light colored forests are deciduous trees (see next slide)

65 Maple trees have a brighter tone Pine trees have a darker tone Reflectance controls image tone

66 Shape & Tone

Texture – characteristic placement and arrangement of repetitions of tone and color in an image Pattern – systematic or random arrangement of discrete objects within a scene 67

68 Texture & Pattern

69 Texture & Pattern

70 Texture & Pattern

Determining where an image was collected often provides key information on features within the image Location provides context for interpreting an image 71

72

1. Components of a camera system 2. Collection of aerial photographs 3. Categories of aerial photographs 4. Photogrammetry 5. Definition of image interpretation 6. Reasons for using image interpretation 7. Key elements of image interpretation 73

74