Object-Based Image Analysis (OBIA): From Segmentation to Classification Training Course
This training course will equip participants with the necessary skills and knowledge on how to report, analyze, and disseminate data for all health programs.
Course Overview
| Course Title | Object-Based Image Analysis (OBIA): From Segmentation to Classification Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 1,000/KES 70,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview:
This 5-day training course, offered by IRES, provides a comprehensive understanding of Object-Based Image Analysis (OBIA) techniques, focusing on the transition from image segmentation to classification. Participants will learn to segment remote sensing imagery, classify objects, and analyze spatial patterns using OBIA methodologies. The course combines theoretical knowledge with practical applications, including hands-on projects and case studies, to enhance participants' skills in applying OBIA for various geospatial analysis tasks.
Course Duration:
5 days
Target Audience:
- Remote sensing specialists
- GIS analysts and specialists
- Data scientists and data analysts
- Environmental scientists and researchers
- Professionals in urban planning and land use
Personal Impact:
- Gain expertise in object-based image analysis techniques for remote sensing data.
- Develop skills in segmentation, classification, and spatial analysis of geospatial imagery.
- Learn to use OBIA tools and software effectively for diverse applications.
- Enhance capability to interpret and analyze complex geospatial datasets.
- Improve skills in communicating findings and insights derived from OBIA.
Organizational Impact:
- Enhance the organization’s ability to perform detailed image analysis and classification.
- Improve decision-making through advanced object-based analysis of remote sensing data.
- Support various projects with accurate segmentation and classification techniques.
- Increase efficiency in analyzing and interpreting complex geospatial imagery.
- Foster innovation and precision in geospatial analysis within the organization.
Course Objectives:
- To provide a thorough understanding of Object-Based Image Analysis (OBIA) principles and methodologies.
- To teach participants the techniques for segmenting and classifying remote sensing imagery.
- To equip participants with skills to analyze spatial patterns and objects in geospatial data.
- To demonstrate the application of OBIA in various fields and scenarios.
- To enable participants to apply OBIA techniques to real-world projects effectively.
Course Modules
Course Outline:
Module 1: Introduction to Object-Based Image Analysis (OBIA)
- Overview of OBIA concepts and principles
- Comparison between pixel-based and object-based analysis
- Applications and benefits of OBIA
- Case Study: Introduction to OBIA applications in land cover classification
Module 2: Image Segmentation Techniques
- Principles and methods of image segmentation
- Tools and software for segmentation (e.g., eCognition, ArcGIS)
- Segmenting remote sensing imagery based on spectral, spatial, and textural features
- Real-Life Project: Performing image segmentation on a remote sensing dataset
Module 3: Object Classification and Analysis
- Techniques for object-based classification
- Classifying segmented objects into meaningful categories
- Applying machine learning and statistical methods for classification
- Case Study: Classification of land use types from segmented imagery
Module 4: Advanced Spatial Analysis and Pattern Recognition
- Analyzing spatial patterns and relationships between objects
- Techniques for detecting and interpreting spatial patterns
- Applications of spatial analysis in various sectors (e.g., urban planning, environmental monitoring)
- Real-Life Project: Conducting advanced spatial analysis on classified objects
Module 5: Communicating OBIA Results and Insights
- Best practices for presenting OBIA results and findings
- Creating effective visualizations and reports for stakeholders
- Addressing common challenges in OBIA and providing solutions
- Case Study: Developing a comprehensive presentation of OBIA results for a specific project
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
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