GeoSpatial Knowledge Hive

Object Based Classification Using eCognition tutorials by GIS HIVE . ImageSource:PixaBay   Lab 01 Performing Image Classification On High Resolution Data on Erdas Imagine Lab 02 Introduction to eCognition Basics Lab 03 Image Segmentation using eCognition Lab 04 Object Based Classification Using Standard NN eCognition Lab 05 Rule Based Classification using  eCognition GIS HIVE intends to promote Geo Spatial Sciences awareness, for that purpose GIS HIVE has launched Youtube Channel . Here you can explore various Geospatial tutorials.

With urbanization and urban sprawl, land-use and land-cover change studies became an area of keen interest for researchers. Cause of rapid urbanization is peoples’ responses to economic opportunities, and government policies. New housing societies and business model adopted overall globe has provided opportunities for new land uses . Image by  piviso  from  Pixabay   “Image Classification is the process of sorting pixels into a finite number of individual classes, categories of data based on their DN (Digital Number) values”.  With advent of modern high resolution era of satellite images, PIXEL based, Object based and many other machine learning algorithms have been developed. Currently the prospects of a new classification concept, Object-Based Classification , are being investigated. Recent studies have proven the accuracy of object-based classification over traditional classifiers. The object-based classification approach relies on basic...

Availability of high resolution satellite imagery leads to a growing number of change detection techniques and algorithms,  research is done using remote sensing and GIS. In this tutorial, we build on the classification category feature set by introducing neighborhood relationships and topological functions. Secondly, we use relative elevation values and fuzzy rules for the classification systems. This study demonstrates that the rule-based classifier is a significantly better approach than the classical per-pixel classifiers & object based NN method . Image Source: NASA  Methodology 1.    Open the eCognition software. 2.    Click on “create new project” option. 3.    Import the “Study area image” from the workspace. 4.    Assign weights to NIR band 5.    Click on the layers and rename each layer. Layer 1 as blue, layer 2 as green, and 3rd as red and 4th NIR. 6.   Go to “Process” option on t...