Knowee
Questions
Features
Study Tools

Which of the following is a stage in data fusion? a. Decision level b. Feature level c. Pixel level d. All of the above

Question

Which of the following is a stage in data fusion? a. Decision level b. Feature level c. Pixel level d. All of the above

🧐 Not the exact question you are looking for?Go ask a question

Solution

d. All of the above

Explanation:

Data fusion involves combining data from multiple sources to create a more comprehensive understanding of a subject or situation. This process can occur at several stages:

a. Decision level: This is the highest level of data fusion. At this stage, the system makes a final decision based on the combined data from all sources.

b. Feature level: This is the intermediate level of data fusion. At this stage, features extracted from the data are combined. This can lead to a reduction in the amount of data that needs to be processed and can improve the performance of the system.

c. Pixel level: This is the lowest level of data fusion. At this stage, raw data from each of the sources is combined. This can lead to a more detailed and complete picture of the subject or situation.

This problem has been solved

Similar Questions

Which of the following is one of the challenges of Data fusion? a. Imperfection b. Conflicts c. Ambiguity d. All of the above

How many stages are there in merger & acquisition?a.3b.4c.5d.6

The second step of depth detail of project will be which DFD level?*Level 0Level 1Level 2Level 3

Question 3During which stage can data scientists apply descriptive statistics and visualization techniques to the data set to assess the content, quality, and initial insights about the data?1 pointThe Business Analysis stageThe Data Analysis stageThe Data Collection stageThe Data Requirements stage

Which of the following is/are the levels of implementation of data structure?Select one:a.Abstract levelb.Application levelc.Implementation leveld.All of the above

1/1

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.