Semi-automatic geometric correction of airborne hyperspectral push-broom images using ground control points and linear features. Issue 12 (18th June 2018)

• Record Type: Journal Article
• Authors: Fang, Hao; Hu, Binlin; Yu, Zhongjiang; Xu, Huoxi; He, Chuan; Li, Aihua; Liu, Yinnian
• Is Part Of: International journal of remote sensing. Volume 39:Issue 12(2018)
• Page Start: 4115
• Page End: 4129
• Publication Date: 2018-06-18
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2018.1455237
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: 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.