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Reading on photogrammetry:

Ch 3.1

IntroductionCh 3.6 Relief displacementCh 3.7 Parallax

http://webvision.med.utah.edu/KallColor.html (to Opponent Color Theory) Color theory

Lecture 3: Spatial data - photointerpretationand photogrammetry

Wednesday, 12 January 2010

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http://webvision.med.utah.edu/KallColor.htmlhttp://webvision.med.utah.edu/KallColor.htmlhttp://webvision.med.utah.edu/KallColor.htmlhttp://webvision.med.utah.edu/KallColor.htmlhttp://webvision.med.utah.edu/KallColor.html

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What was covered in the previous lecture

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LECTURES Jan 05 1. Intro

Jan 07 2. Images previous Jan 12 3. Photointerpretation today

Jan 14 4. Color theoryJan 19 5. Radiative transfer

Jan 21 6. Atmospheric scatteringJan 26 7. Lamberts Law Jan 28 8. Volume interactionsFeb 02 9. SpectroscopyFeb 04 10. Satellites & ReviewFeb 09 11. Midterm Feb 11 12. Image processingFeb 16 13. Spectral mixture analysisFeb 18 14. ClassificationFeb 23 15. Radar & LidarFeb 25 16. Thermal infraredMar 02 17. Mars spectroscopy (Matt Smith)Mar 04 18. Forest remote sensing (Van Kane)Mar 09 19. Thermal modeling (Iryna Danilina)Mar 11 20. ReviewMar 16 21. Final Exam

Photos & digital images

Structure of brightness elements in images

DetectionResolutionSignal & noisePoint & extended targets

Today: Photointerpretation

Color, shape and textureLighting and shadowsImage examplesPhotogrammetry

OrbitsImage geometryParallax and stereo

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ColorSeparation

Images

Photointerpretation

What is the roleof textural

information in photo-interpretation?

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Indicates position of sun relative to center of picture

Lighting,viewing geometry,& resolution

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Absence of

contextualclues permitsambiguity

Hill?Or hollow?

?

? 5

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Expandingthe FOV addscontextualinformation

Notice the striking similarity in shape:

Apollo capsule

Linear ridge

Impact gougeWhy isone sidedarkerthan theother ??

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What cues indicate the direction of the sun?7

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Illuminated DEM

B/W image

What information is presentin a B/W image beyond

shape and lighting alone?

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Amazon

July

January

11

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Surfaces from Lidar Data

1) Canopy Top (Hillshade

+Treeshade)

1 2 3

2) Bare Earth (HillshadeOnly)

3) Tree Height (TreeshadeOnly)

0 500Approx. Scale

(meters) N

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Photogrammetry

Images are acquired in (x,y)- goal is to measure distances in images

and especially to get z.

To do this, it is necessary to know how to relate x & y on the photo to position (x,y,z) in the scene

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Southbound (Day)Northbound (Night)185 km swath16 day repeat cyclePolar regions N of 81 0 not covered

Sun-synchronous Orbit (Landsat)

Polar orbit 15

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Reliefdisplacement

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Stereo images

Left image Right image

Flight direction 19

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Stereo images and perspective view

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What was covered in todays lecture?

Color, shape and texture Lighting and shadows Image examples Photogrammetry

Orbits Image geometry Parallax and stereo

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The spectrum Color theory Absorption

What will be covered in Fridays lecture?