Image Transformations
03
Band Ratios, Vegetation Indices,
Image Filtering, Difference
Images, PCA
• Band
Ratio
• Vegetation
Indices
• Difference
images
• Image
filters
Image Classification
03
Classification Schemes, Types,
Algorithms, Field data collection
(training areas)
• Signature
selection
• Supervised,
unsupervised and
hybrid classification
• ISODATA,
MDM,
MLC,
and Baysian
classification
Accuracy Assessment
02
Qualitative and quantitative
techniques, sampling techniques,
Error matrices, Ground-Verification
(Field Verification)
• Error Matrix Generation
• Classification
validation
01 Review
PROJECT COMPONENT
From third week students will be
advised to commence their project
work in a teamwork environment.
Project work will be based on real
life data sets obtained from
resource monitoring agencies such
as Department of Agriculture,
Forestry, SUPARCO, SOP, Local
Government and Rural
Development etc.
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