NTA-NET (UGC-NET) Geography (80) Cartography-Digital Image Processing, Remote Sensing and Big Data Study Material (Page 5 of 11)
Choose Programs:
📹 Video Course 2024 (266 Lectures [126 hrs : 58 mins]): Offline Support
Rs. 780.00 -OR-
1 Month Validity (Multiple Devices)
Preview All LecturesDetails
⏳ 🎯 Online Tests (13 Tests [100 questions each]): NTA Pattern, Analytics & Explanations
Rs. 2100.00 -OR-
3 Year Validity (Multiple Devices)
Sample TestsDetailsSee Demo
🎓 Study Material (2404 Notes): 2024-2025 Syllabus
Rs. 1300.00 -OR-
3 Year Validity (Multiple Devices)
Topic-wise Notes & SampleDetails
🎯 4843 MCQs (& PYQs) with Full Explanations (2024-2025 Exam)
Rs. 750.00 -OR-
3 Year Validity (Multiple Devices)
CoverageDetailsSample Explanation
Help me Choose & Register (Watch Video) Already Subscribed?
Supervised Classification
Introduction
- The purpose of Image classification is to categorize all pixels in a digital image into different land use/land cover classes. Depending on the interaction between computer and interpreter during classification process, there are two types of classification. These two main categories used to achieve classified output are called Supervised and Unsupervised Classification techniques.
- Supervised classification is based on the idea that a user can select sample pixels in an image thatare representative of specific classes and then direct the image processing software to use thesetraining sites as references for the classification of all other pixels in the image. Many analysts use a combination of supervised and u…
… (306 more words, 1 figure) …
Subscribe (by clicking here) to view full notes and track progress.
Appropriate Classification Algorithm
Selection of Appropriate Classification Algorithm
Various supervised classification algorithms may be used to assign an unknown pixel to one of a few classes. The choice of a particular classifier or decision rule depends on the nature of the input data and the desired output. Parametric classification algorithm assumes that the observed measurement Xe for reach class in each spectral band during the training phase of the supervised classification are Gaussian in nature i.e.. they are normally distributed. Non parametric classification algorithm makes no such assumptions.
Parallelepiped Classification Algorithm
This is a widely used decision rule based on simple Boolea…
… (276 more words, 28 figures) …
Subscribe (by clicking here) to view full notes and track progress.