GIS & REMOTE SENSING
Erdas Imagine Software is world-class Remote Sensing as well as Satellite image processing software. The ERDAS IMAGINE provides true value, consolidating remote sensing, photogrammetry, LIDAR analysis, basic vector analysis, and radar processing into a single product.
Unsupervised Classification using Erdas Imagine Software Unsupervised Classification is called clustering because it is based on the natural groupings of pixels in image data when they are plotted in feature space. Unsupervised Training The Unsupervised training is more computer-automated. You can specify some parameters that the computer uses to uncover statistical patterns that are inherent in […]
Supervised Classification using Erdas Imagine Software Supervised classification uses image pixels representing regions of known, homogenous surface composition ‘training areas’ to classify unknown pixels. A Supervised Classification describes information about the data of land use as well as land cover for any region. Soil type, Vegetation, Water bodies, Cultivation, etc. Supervised Training Supervised training is
Pwrform NDVI, NDBI, NDSI, SAVI- Erdas Imagine NDVI The NDVI stand for Normalized Difference Vegetation Index, its describes the vegetation density and assessing changes in plant health. NDVI is calculated as a ratio between the red (R) and near-infrared (NIR). In this tutorial, learn how to apply the NDVI Formula and calculate vegetation patterns. Process of NDVI NDVI Formula (NIR – R)
Raster Processing- Layer stack, Subset and Mosaic, using Erdas Imagine Raster Image Processing is the enhancement and analysis of raster data—commonly used in Remote Sensing, GIS, and Digital Image Processing. Raster processing is crucial because most satellite images, aerial photos, DEMs, and climate datasets are in raster format. A Raster image processor is a component