A multiple view stereo benchmark for satellite imagery
| Autor: | Shea Hagstrom, Myron Brown, Marc Bosch, Zachary Kurtz |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Ground truth
business.industry Computer science Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Solid modeling Field (computer science) Panchromatic film Lidar 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Computer vision Satellite imagery Artificial intelligence business 021101 geological & geomatics engineering |
| Zdroj: | AIPR |
| Popis: | The availability of public multiple view stereo benchmark datasets has been instrumental in enabling research to advance the state of the art in the field and to apply and customize methods to real-world problems. Until now, no public multiple view stereo benchmark dataset has been available for satellite imaging applications. In this work, we describe a public benchmark dataset for multiple view stereo applied to three-dimensional outdoor scene mapping using commercial satellite imagery. This dataset includes fifty Digital Globe WorldView-3 panchromatic and multispectral images of a 100 square kilometer area near San Fernando, Argentina. We also provide high-resolution airborne lidar ground truth data for a 20 square kilometer subset of this area and performance analysis software to assess accuracy and completeness metrics. We report initial results from available solutions using this benchmark data and encourage continued research by making this benchmark dataset publicly available to the research community. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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