Semi-automatic geometric correction of airborne hyperspectral push-broom images using ground control points and linear features
| Autor: | Chuan He, Yinnian Liu, Hao Fang, Zhongjiang Yu, Huoxi Xu, Aihua Li, Binlin Hu |
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| Rok vydání: | 2018 |
| Předmět: |
Correction method
010504 meteorology & atmospheric sciences business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Hyperspectral imaging 02 engineering and technology 01 natural sciences Panchromatic film Image (mathematics) Computer Science::Computer Vision and Pattern Recognition Calibration General Earth and Planetary Sciences Segmentation Computer vision Artificial intelligence Semi automatic business Energy (signal processing) 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Remote Sensing. 39:4115-4129 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431161.2018.1455237 |
| Popis: | A semi-automatic geometric correction method is presented for high-resolution airborne hyperspectral push-broom images in this paper. The method mainly consists of a correction model based on ground control points and linear features as well as a semi-automatic extraction procedure for linear features. With a panchromatic image as the reference map, the distorted hyperspectral image can be calibrated using ground control points and linear features digitized on both the map and the distorted image. In particular, the ground control points are chosen manually, and the linear features can be extracted semi-automatically through the combination of region segmentation based on the region-scalable fitting energy model and a further correction procedure. The experimental results of two hyperspectral images demonstrate that our method can achieve visually well-rectified images and high calibration accuracy. |
| Databáze: | OpenAIRE |
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