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...
Knowledge Hub for GIS Remote Sensing & Spatial Sciences


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