JOURNAL ARTICLE

Geographic object based image analysis

Prashanth Marpu

Year: 2009 Journal:   Geo-Leo e-docs (Deutsche Initiative für Netzwerkinformation)   Publisher: Deutsche Initiative für Netzwerkinformation

Abstract

The field of earth observation (EO) has seen tremendous development over recent time owing to the increasing quality of the sensor technology and the increasing number of operational satellites launched by several space organizations and companies around the world. Traditionally, the satellite data is analyzed by only considering the spectral characteristics measured at a pixel. The spatial relations and context were often ignored. With the advent of very high resolution satellite sensors providing a spatial resolution of ≤ 5m, the shortfalls of traditional pixel-based image processing techniques became evident. The need to identify new methods then led to focusing on the so called object-based image analysis (OBIA) methodologies. Unlike the pixel-based methods, the object-based methods which are based on segmenting the image into homogeneous regions use the shape, texture and context associated with the patterns thus providing an improved basis for image analysis ...

Keywords:
Pixel Context (archaeology) Computer science Computer vision Remote sensing Earth observation satellite Artificial intelligence Earth observation Satellite Image resolution Geography Object (grammar) Image processing Image (mathematics) Engineering

Metrics

28
Cited By
5.17
FWCI (Field Weighted Citation Impact)
0
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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