Training on Digital Image processing using ENVI Course

INTRODUCTION

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Recently, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too.

The participants will be taken through fundamental definitions such as image, digital image, and digital image processing. Different sources of digital images, image processing to computer vision and image acquisition and different types of image sensors shall be covered.

Who should apply?

New users,Planners, GIS experts ,Resource managers, Spatial Analysts, remote sensing individuals

Course duration

8 days


COURSE OBJECTIVES

  • Be proficient in the use of ENVI
  • Understand and be able to undertake geometric referencing of images
  • Understand and be able to display image composites for known purposes.
  • Know about the potential of and procedures for image processing in a range of application areas
  • Proficiency in image processing as outlined in this course is the basis for:
  • Developing advanced image processing techniques
  • Using image processing in a very wide array of applications with any type of digital image and with a range of software products

Module 1:

  • Basis of Remote Sensing

  • Market overview of existing satellites and lunch plan of new satellites (Landsat and Sentinel)

  • Prospects for development of remote sensing

Module 2

  • Active vs. Passive Remote Sensing

  • ENVI main menu;

  • Region of Interest tool (ROI)

  • Masks

Module 3

  • Image registration and orthorectification

  • Geometric Correction: image to image and image to map

  • Orthorectification;

  • Reprojection data.

Module 4

  • Georeferencing and mosaicking

  • Automatic contrast

  • Mosaicking 

  • Animation

Module 5

  • Vector and raster data

  • Editing vector data

  • Getting information about vector from attribute table

Module 6

  • Spectral Analysis

  • Working with spectral libraries

  • Spectral Transforms

  • Atmospheric Correction

Module 7

  • Thematic processing of remote sensing data

  • Supervised and Unsupervised Classification;

Module 8

  • Post Classification tools

  • Accuracy assessment and ground truthing

Module 9

  • Change Detection Analysis.

Module 10

  • Normalized Difference Vegetation Index (NDVI)

  • Mapping

Module 11: Create lists of Data

  • Introduction

  • List of ArcPy functions

  • Field

  • Index

Module 12: How to obtain descriptive information about data

  • Describe function – ArcPy Functions

  • FeatureClass properties – ArcPy Functions

  • Get Raster Properties

  • Get Layer properties

  • Table properties – ArcPy Functions

  • Dataset properties

  • Workspace properties

 

Module 13: Use Geoprocessing to select, edit and add data existing tables and layers

  • Introduction

  • Cursor object functions

    • InsertCursor

    • SearchCursor

    • UpdateCursor

  • Geometry Objects

  • SpatialReference

  • Extend

  • FieldMappings, FieldInfo, FieldMap

  • Point, Polyline, Polygon

  • Array

Module 14: Accessing licenses and extension

  • Introduction

  • Licenses for ArcGIS products: Desktop, Engine, Server

  • Extension Licensing

Module 15: Geoprocessing reports

  • Using geoprocessing options to control tool execution

  • Viewing script tools execution history

  • Using the Results window

  • History log files

  • Viewing metadata


Methodology

This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with a Livecode Technologies certificate.

Training Venue

The training is residential and will be held at the Livecode Technologies Training Center in Westlands, Nairobi, Kenya. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Accommodation

Accommodation is arranged upon request. For reservations contact the Training Officer.

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Mobile Number: +254 725 771 853

Training Fees

The course fees is KES 80,000.00 or USD 1000.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.

Payment

Payment should be transferred to Livecode Technologies account through bank on or before the course commences.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

Cancellation Policy

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

Tailor- Made

This scheduled course can also be tailored for your organization. To find out how our tailor-made training can help your organization, contact our team on:

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Mobile Number: +254 725 771 853

Event Properties

Event Date 04-10-2023 12:00 am
Event End Date 04-14-2023 12:00 am
Registered 0
Cut off date 04-06-2023
Individual Price USD 1,000
We are no longer accepting registration for this event
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Nairobi Office: GTC Building Complex, 2nd floor

P.O BOX 21567-00100

Official: info@livecodetech.co.ke

Westlands,    Nairobi, Kenya

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