GI3413 Subject code deals with the semester IV Subject Digital Image Processing Laboratory syllabus of Anna University 2021 Revised regulation syllabus of B.E Geo Informatics Engineering. It is provided based on the student’s point of view to prepare well for academic examinations.
In this article, we would like to discuss the GI3413 – Digital Image Processing Laboratory Syllabus. To get good marks in the academic examinations, need a certain guide to assist you with the chapter-wise syllabus right? We include the chapter-wise syllabus for students, to assist them simply. A clear picture of the syllabus in your mind helps to understand the topics from every unit or chapter.
Then you will get an idea of where to begin from the whole syllabus by separating the topics easy from hard topics. Having command of the subject syllabus makes it easy to revise the syllabus for examination and helps you to excel in academics. The following article will give you sufficient information regarding the syllabus. Don’t forget to share it with your friends.
If you want to know more about the syllabus of B.E Geo-Informatics Engineering connected to affiliated institutions under a four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Geo-Informatics Engineering Syllabus Anna University, Regulation 2021. Hoping this information is useful to you.
Aim Of Concept:
- To familiarize the undergraduate level students in the regular Image Processing Software.
GI3413- Digital Image Processing Laboratory Syllabus
Excercises:
- Image reading and writing
- Pre-processing techniques: radiometric correction
- Random and Periodic Noise removal
- Pre-processing techniques: Ground control and rectification
- Enhancements – histogram, filters
- Band rationing and normalization – NDVI, SAVI & NDWI
- PCA
- Image fusion
- Classification –supervised &unsupervised
- Sub-pixel classification
- Classification using Neural Network and Fuzzy Logic
- Accuracy assessment – correlation, RMSE & kappa
- Crop conditioning assessment/ inundation damage assessment/ forest fire/ change dynamic analysis
Text Book
- Richards, Remote sensing digital Image Analysis –An Introduction Springer-Verlag 1993.
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