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EAS 221 (Intro to GIS and Remote Sensing) – Final correctly answered to pass

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EAS 221 (Intro to GIS and Remote Sensing) – Final correctly answered to pass

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EAS 221
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EAS 221

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Uploaded on
April 14, 2025
Number of pages
17
Written in
2024/2025
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EAS 221 (Intro to GIS and Remote
Sensing) – Final correctly answered to
pass

Why do we need geometric corrections? - correct answer ✔✔- Allowing overlay with data from
other sources (images are not in a map projection)

- Allowing temporal studies

- Comparison between images

- Creation of basemaps for cartography



Why do we need geometric corrections continued? - correct answer ✔✔- Extraction of position,
direction, or area information

- Spatial analysis

- Identification of unique image features relative to known points



How do we correct for geometric distortions? - correct answer ✔✔By matching coordinates of
features on image and map (GCP's) or using GPS coordinates



Geometric Corrections: Registration? - correct answer ✔✔- Image to image

- Image to map



What are reasons for rectify? - correct answer ✔✔- Comparison between images

- Integration into GIS

- Creation of basemaps for cartography

- Extraction of position, direction, or area information

- Spatial analysis

,- Identification of unique features relative to known points



What is the 3 steps involved in correcting for geometric distortions? - correct answer ✔✔1)
Collect GCP's - used to match image coordinates with map/other image coordinates

2) Rectification: the computation of a new image coordinate matrix, aligned with either an
existing image or some geographic projection (also: warping, rubber-sheeting)

3) Resampling: the population of the new matrix with the brightness values from the original
image file



What are the 3 resampling methods? - correct answer ✔✔1) Nearest Neighbour (NN) - input
value closest to pixel

2) Bilinear Interpolation (BL) - pixel value = weighted average of 4 closest input pixels

3) Bicubic Convolution (CC) - pixel value = weighted calculation based on 16 closest input cells (a
4x4 array)



Nearest Neighbour (NN) - correct answer ✔✔Assigns a pixel value based on nearest pixel in
original matrix to a given pixel in the output matrix (no calculation involved)



What are the advantages of nearest neighbour? - correct answer ✔✔- Simple, and
computationally efficient

- Preserves original input values

- Good for classification



What are the disadvantages of nearest neighbour? - correct answer ✔✔- Image is blocky

- Values may be lost, others may be duplicated

- May result in breaks in linear features (roads, streams, boundaries)



Bilinear Interpolation (BL) - correct answer ✔✔Assigns a value based on a weighted linear
average of the 4 nearest pixels in the original matrix

, What are the advantages of bilinear interpolation? - correct answer ✔✔Smoother image than
NN



What are the disadvantages of bilinear interpolation? - correct answer ✔✔- Gray values are
altered

- Some blurring (e.g. filter)

- Slower



Bicubic Convolution (CC) - correct answer ✔✔Assigns a value to a given cell in the output matrix
based on a 4x4 moving average calculated using a cubic polynomial



What are the advantages of bicubic convolution? - correct answer ✔✔- Very smooth image

- More visually pleasing

- Considers more of surrounding area than bilinear



What are the disadvantages of bicubic convolution? - correct answer ✔✔- Gray values are
altered

- Slower than bilinear interpolation

- Potential for values outside the range of the input data set



When should you not rectify to map coordinates? - correct answer ✔✔- When positional
information is not required (maybe only register image-to-image)

- Before (or after) spectral image classification (depends on resampling method)



What are the 3 types of radiometric corrections? - correct answer ✔✔1) Sensor's sensitivity

2) Sun angle and topography

3) Atmospheric correction (absorption, scattering)

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