In order to monitor the growth of cotton in an area (in the northern hemisphere) , we acquired QuickBird images taken every month from June to October. The images have been georeferenced and geometrically corrected. If the images have good contrasts and contain no noises, which type of image processing is still needed for the comparison between these images?
A) histogram equalisation
B) spatial filtering
C) bilinear interpolation
D) sun elevation correction
Correct Answer:
Verified
Q10: On a colour infrared image (or photo),
A)
Q11: The brightness value of a pixel in
Q12: Landsat MSS sensor has a spatial resolution
Q13: Georeferencing an image to geographical coordinates (latitude
Q14: If an image's orientation does not align
Q16: Cubic convolution is a geometric correction method,
Q17: Geometric correction with the nearest neighbour method
A)
Q18: Converting DN values to radiance values is
Q19: Solar elevation angles at a particular location
Q20: With linear stretching,
A) the image would appear
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