Exam (elaborations)
CLASSIFYING IMAGERY USING ArcGIS BY ESRI TEST
- Module
- Institution
CLASSIFYING IMAGERY USING ArcGIS BY ESRI TEST...
[Show more]
Seller
Follow
luzlinkuz
Reviews received
Content preview
CLASSIFYING IMAGERY USING ArcGISBY ESRI TEST
The Iso Cluster Unsupervised Classification tool outputs homogenous
spectral classes and not informational classes.
True - ANSWER
No signature file is needed for the Interactive Supervised Classification
tool to run.
True - ANSWER
Which of the following is based on statistical characteristics of the pixel
brightness values?
Unsupervised classification - ANSWER
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 - ANSWER
The supervised classification method limits the number of classes to
those defined in the training samples.
True - ANSWER
What does supervised classification rely on?
Training samples that a user defines to create the clusters - ANSWER
, 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? - ANSWER
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. - ANSWER
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. - ANSWER
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. - ANSWER
Which of the following uses feature sampling?
Supervised classification - ANSWER
Interactive supervised classification uses the _____ tool to automatically
classify a layer selected in the layer list using at least two training
samples.
Maximum Likelihood Classification - ANSWER
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller luzlinkuz. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for £8.07. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
79223 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy revision notes and other study material for 14 years now
Recently viewed by you
