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Image Classification

OBIA object-based image analysis geobia
Remote Sensing

OBIA – Object-Based Image Analysis (GEOBIA)

Object-based Image Analysis (OBIA) segments an image by grouping pixels together into vector objects. Using these objects, you classify as land cover types.

Spectral Reflectance in Remote Sensing
Remote Sensing

Spectral Signature Cheatsheet – Spectral Bands in Remote Sensing

Every object has its own unique composition. This is equivalent to it having its own spectral signature. Choose the spectral bands for ideal classification

Nearest Neighbor Classification Technique in Object-Based Image Analysis
Remote Sensing

Nearest Neighbor Classification Guide in eCognition

Nearest neighbor classification is a powerful approach to classify segmented objects based on specific statistics and training samples chosen by the user.

Principal Component Analysis Eigenvalue
GIS Analysis

Principal Component Analysis: How to Eliminate Redundant Data

Principal component analysis PCA identifies duplicate data over several datasets & aggregates essential information into groups called principal components.

Remote Sensing Image Classification Techniques
Remote Sensing

Image Classification Techniques in Remote Sensing [Infographic]

We look at the digital image classification techniques in remote sensing (such as supervised, unsupervised & object-based) to extracts features of interest.

Unsupervised Classification Example
Remote Sensing

Supervised and Unsupervised Classification in Remote Sensing

Supervised classification creates training areas, signature file and classifies. Unsupervised classification generate clusters and assigns classes.







 

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