Radiometric and Geometric Calibrations Flashcards

1
Q

Geometric Distortion types and causes

A

Size, shape, and scale distortions
Systematic or random causes

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2
Q

Systematic Distortions/Errors

A

Earths curvature
Earths rotation
Atmospheric refraction
topographic effects
Relief displacement

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3
Q

Random Distortions/Errors

A

Changes in flight altitude
Changes in flight attitude (pitch/roll/yaw)
Changes in velocity

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4
Q

Orthophoto definition

A

a corrected aerial photo

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5
Q

Relief Displacement definition

A

Tall objects are displaced away from the center of the air photo

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6
Q

Roll definition and image impact

A

rotation on the x-axis
The up and down of the wings
Compress/expand along right and left of image

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7
Q

Pitch definition and image impact

A

Rotation on the y-axis
The up and down of the nose of the plane/fuselage
Compress/expand along top and bottom of image

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8
Q

Yaw definition and image impact

A

rotation on z-axis
plane rotates/turns while staying level
Impacts field of imagery

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9
Q

Geometric Correction definition

A

putting pixels in their proper planimetric (x, y) map locations
We did a lap for this
This creates orthophotos
AKA georeferencing, georectification, geometric transformation

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10
Q

4 steps to geometric correction

A
  1. Choose a source - scientifically reliable, real world reference, ie GEP
  2. Select Ground Control Points (GCP) - fixed points, evenly dispersed, minimum of 3
  3. Image Transformation - Software transforms image pixels based on GCPs (rectify in ArcMap)
  4. Accuracy Assessment - RMSE
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11
Q

4 basic image transformations

A

Rotation - turn from fixed point
Skewing - distort or slant an unrefed image
Translation - shift to new location
Scaling - resize

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12
Q

Geometric Correction Accuracy Assessment

A

Root Mean Square Error (RMSE)
the lower the overall RMSE the better the fit

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13
Q

Radiance and Digital Numbers

A

Radiance has a perfect linear relationship with DNs
DNs represent average radiance measured over the ground area corresponding to that pixel

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14
Q

Radiance in remote sensors

A

Radiance is the most important physical quantity in RS
This is what sensors are measuring and converting to Digital Numbers
This is used to calculate reflectance

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15
Q

Radiance and Reflectance relationship

A

Radiance and incoming solar radiation and angle are collected by the DLS
Those are used to calculate reflectance

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16
Q

Empirical Line Calibration Method (ELC) Definition and use

A

Requires at least one dark piece and one light piece
Establishes control points of reflectance for a simple linear regression equation that is applied to the rest of the DNs to convert to surface reflectance

17
Q

ELC assumptions

A

Assumes the darkest object in an image reflects NO radiation, DN=0
Assumes brightest object wont saturate DNs, is within valid range
Assumes perfect positive linear relationship between sensor’s radiance measurements and surface reflectance