Object-Based Image Analysis (OBIA): From Segmentation to Classification Training Course

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.

Advanced | 5 days | Face to Face | Certificate
(4.5)
01

Course Overview

Course Summary
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
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) TBA
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.
02

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
03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

Date & Location Cost
2026 Schedules
03 Aug - 07 Aug
Nairobi
KES 75,000 |
$1,100
Register
31 Aug - 04 Sep
Nairobi
KES 75,000 |
$1,100
Register
05 Oct - 09 Oct
Nairobi
KES 75,000 |
$1,100
Register
02 Nov - 06 Nov
Nairobi
KES 75,000 |
$1,100
Register
30 Nov - 04 Dec
Nairobi
KES 75,000 |
$1,100
Register
2027 Schedules
04 Jan - 08 Jan
Nairobi
KES 75,000 |
$1,100
Register
01 Feb - 05 Feb
Nairobi
KES 75,000 |
$1,100
Register
01 Mar - 05 Mar
Nairobi
KES 75,000 |
$1,100
Register
29 Mar - 02 Apr
Nairobi
KES 75,000 |
$1,100
Register
03 May - 07 May
Nairobi
KES 75,000 |
$1,100
Register
31 May - 04 Jun
Nairobi
KES 75,000 |
$1,100
Register
05 Jul - 09 Jul
Nairobi
KES 75,000 |
$1,100
Register
02 Aug - 06 Aug
Nairobi
KES 75,000 |
$1,100
Register
30 Aug - 03 Sep
Nairobi
KES 75,000 |
$1,100
Register
04 Oct - 08 Oct
Nairobi
KES 75,000 |
$1,100
Register
01 Nov - 05 Nov
Nairobi
KES 75,000 |
$1,100
Register
29 Nov - 03 Dec
Nairobi
KES 75,000 |
$1,100
Register
2028 Schedules
03 Jan - 07 Jan
Nairobi
KES 75,000 |
$1,100
Register
31 Jan - 04 Feb
Nairobi
KES 75,000 |
$1,100
Register
06 Mar - 10 Mar
Nairobi
KES 75,000 |
$1,100
Register
03 Apr - 07 Apr
Nairobi
KES 75,000 |
$1,100
Register
01 May - 05 May
Nairobi
KES 75,000 |
$1,100
Register
29 May - 02 Jun
Nairobi
KES 75,000 |
$1,100
Register
03 Jul - 07 Jul
Nairobi
KES 75,000 |
$1,100
Register
31 Jul - 04 Aug
Nairobi
KES 75,000 |
$1,100
Register
04 Sep - 08 Sep
Nairobi
KES 75,000 |
$1,100
Register
02 Oct - 06 Oct
Nairobi
KES 75,000 |
$1,100
Register
30 Oct - 03 Nov
Nairobi
KES 75,000 |
$1,100
Register
04 Dec - 08 Dec
Nairobi
KES 75,000 |
$1,100
Register
2029 Schedules
01 Jan - 05 Jan
Nairobi
KES 75,000 |
$1,100
Register