Short course/CPD
Image Processing and Analysis
Course date: Please enquire
Course overview
Image processing and analysis is one of the fundamental tools of applied remote sensing. It is the means by which information can be extracted from raw digital data to produce and manipulate images from airborne and space sensors.
Location
Course fee:
- £1400 - Standard. 20% discount for Cranfield alumni, 10% discount for colleagues of alumni
- £1340 - Professional/trade association discount
- £1280 - Multiple bookings*
*Minimum of five delegates.
Accommodation fee:
Accommodation is not included in the price.
Speakers
How to register
To request a place on this course, please complete the online Registration Form.
If you have any queries please contact:
Academic Operations Unit.
T: +44 (0) 1234 754176
E: shortcourse@cranfield.ac.uk
F: +44 (0) 1234 751206
Cranfield University
Cranfield
Bedfordshire
MK43 0AL, UK
T: +44 (0) 1234 754176
E: shortcourse@cranfield.ac.uk
F: +44 (0) 1234 751206
Please be aware that short courses/CPD are subject to:
Booking ConditionsCourse description
- The remote sensing process: data management and planning
- Physics of light: principles of recording the image, plant, soil and water spectral properties in the optical wavelengths, influence of plant structure, moisture content, phenology and growth cycle on reflectance patterns, effect of organic matter, mineral content, texture and moisture content on soil reflectance
- Satellite image processing: Digital image enhancement and classification, indices
- Geometric correction: map projections, selection of ground control points, transform equations, resampling methods (nearest neighbour, bilinear interpolation, cubic convolution, sinc x)
- Image enhancement: contrast stretching (linear, bilinear, gaussian, histogram equalisation and manual), digital filtering in the spatial domain (low-pass, high-pass, high-boost, median and directional)
- Classification: density slice, box classification, maximum likelihood and minimum distance algorithms. Supervised and unsupervised training techniques. Spectral coincident plots and decision tree classification
- Advanced image processing techniques: principal component analysis and formation of eigen images. Band arithmetic. Masking. De-correlation stretch
- Current classification methods.
On completion of this course the delegate will be able to:
- Identify a wide range of image processing techniques.
- Explain the purpose of each process and the underlying mathematical principles.
- Select appropriate image processing sequences to achieve predetermined objectives.
- Operate and manage an image processing system.
- Integrate image processing techniques into applications of remote sensing.
