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ArcGIS Esri Classifying Imagery Exam-Questions with Correct Answers/ Verified/ Latest 2024/2025 $12.49   Add to cart

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ArcGIS Esri Classifying Imagery Exam-Questions with Correct Answers/ Verified/ Latest 2024/2025

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ArcGIS Esri Classifying Imagery Exam-Questions with Correct Answers/ Verified/ Latest 2024/2025

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  • September 29, 2024
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  • 2024/2025
  • Exam (elaborations)
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MikeHarris
ArcGIS Esri Classifying Imagery Exam-Questions with Correct
Answers/ Verified/ Latest 2024/2025
The Iso Cluster Unsupervised Classification tool outputs homogenous spectral classes and
not informational classes.




True - ✔✔


No signature file is needed for the Interactive Supervised Classification tool to run.




True - ✔✔


Which of the following is based on statistical characteristics of the pixel brightness values?




Unsupervised classification - ✔✔


What is the primary objective of the accuracy assessment process?


To quantify the results of the classification and to determine the confidence you should
have in any subsequent analysis - ✔✔


The supervised classification method limits the number of classes to those defined in the
training samples.




True - ✔✔


What does supervised classification rely on?

, Training samples that a user defines to create the clusters - ✔✔


You have acquired Landsat data and would like to classify the data in ArcGIS using the Iso
Cluster Unsupervised Classification tool in the Image Classification toolbar. Which of the
following is applicable to the tool? - ✔✔


You are assigned to implement unsupervised classification on a coarse Landsat image.
Which of the following actions applies to your task?



You will create training samples. - ✔✔


You would like to create a land cover map of an area using remote-sensing imagery. You do
not have preexisting field data, nor do you have sufficient local knowledge to identify
classes. Which of the following would be ideal to do?




Use unsupervised classification. - ✔✔


You have been tasked to implement image classification using unsupervised classification.
You do not know which features are actually at any specified location. Which of the
following is appropriate to do to aggregate each of the locations into one of a specified
number of groups or clusters?


Use multivariate statistics that are calculated on the input bands and store the statistics in a
signature file. - ✔✔


Which of the following uses feature sampling?



Supervised classification - ✔✔

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