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Course Description
This course will concentrate on the theories and applications of image processing and the extraction of thematic information from satellite images. Students learn key concepts and techniques of image processing through hands-on lab exercises involving image calibration, rectification, fusion, transform, filtering, classification, segmentation, and image quality & accuracy assessment.Course Outline
Learning objectives and topics covered:
- Major satellite and terrestrial sensors
- Image geometry; rectification, enhancement
- Image Transforms – PCA and Fourier Transform, wavelet and derivatives
- Image Filtering
- Image classification – supervised, unsupervised, and hybrid classifiers
- Image segmentation and target detection
- Image quality and accuracy assessment
- Data fusion
- Thematic feature extraction
Learner Outcomes
- Students will be able to identify sources of various satellite and sensor data to complete the lab assignment or class projects, which will be evaluated based on their lab submissions
- Students will be able to learn identify problems in the images (distortion, noise, or geometric error) and apply image transform techniques to correct the imagery. The learning outcomes of these will be evaluated using three labs focused on identifying image quality evaluation, assessment and correction. Students will submit a report with the results of these labs and responding a set of questions based on the labs
- Students will be able to conduct supervised and unsupervised classification and segmentation of various image data which is demonstrated by lab assignments and class project
- Students will be able to apply information and decision level fusion of imagery data which will be measured by a final project
- Pre-class reading is evaluated by pre-class quizzes distributed during the semester. Students are provided reading materials, and submit their responses to a set of questions developed based on the reading materials before each class
Prerequisites
Prerequisites: GEO5040 - Introduction to Remote Sensing or equivalent experience.Duration
30 Hours | 5 Days or 10 NightsLoading...
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.