Object-Based Image Analysis
Keith Pelletier, UMN Remote Sensing and Geospatial Analysis Laboratory
The geospatial community is experiencing a data-rich era where Earth-observing platforms are capturing the landscape at fine-scale spatial and temporal resolutions. These remotely-sensed data provide a view from above that is essential for analyzing natural and anthropogenic interactions over large areas. Traditional approaches to these analyses are time and labor-intensive or limited by per-pixel techniques that fail to incorporate contextual cues. Object-based image analysis (OBIA) allows researchers and decision managers to integrate data from disparate sources at multiple scales and employ color, shape, and context for creating meaningful information. In this presentation, examples from mapping terrain, vegetation and urban infrastructure are used for illustrating data integration and analysis using OBIA.
More information:
https://uspatial.umn.edu/brownbag
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