Abstract
The needs of high-precision earth observation have led to the development of high-resolution and high-dimensionality RS data and greatly promoted the standard for processing and application of airborne hyperspectral images. The varying brightness gradients of the airborne images cause problems in generating “seamless” mosaic for hyperspectral surveys, which severely affect the radiometric consistencies for subsequent analyses. We present a semiempirical method to generate seamless mosaicking of multi-strip airborne hyperspectral images and introduce the model principle as well as the calculation process in detail. The experimental results based on HyMap images in Lop Nor area show that this method can efficiently remove the illumination gradient in both single image and between multi-scene images. Moreover, the MNF-transformed images and spectrum from overlap were chosen to assess the model; the results show that the Hapke-based model can be used to improve the airborne hyperspectral mosaicking effect and have great potential to subsequent quantitative applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Collings S, Caccetta P, Campbell N, Wu X (2010) Techniques for brdf correction of hyperspectral mosaics. Geoscience & Remote Sensing IEEE Transactions on 48(10):3733–3746
Wu A, Li Z, Cihlar J (1995) Effects of land cover type and greenness on advanced very high resolution radiometer bidirectional reflectances: analysis and removal. J Geophys Res Atmos 100(D5):9179–9192
Rogge D, Bachmann M, Rivard B, Feng J (2012) Hyperspectral flight-line leveling and scattering correction for image mosaics. In: Geoscience and remote sensing symposium, IEEE, vol 22, pp 4094–4097
Schiefer S, Hostert P, Damm A (2006) Correcting brightness gradients in hyperspectral data from urban areas. Remote Sens Environ 101(1):25–37
Roberts G (2001) A review of the application of brdf models to infer land cover parameters at regional and global scales. Prog Phys Geogr 25(4):483–511
Wu Y, Besse S, Li JY, Combe JP, Wang Z, Zhou X et al (2013) Photometric correction and in-flight calibration of Chang’ e-1 interference imaging spectrometer (iim) data. Icarus 222(1):283–295
Besse S, Sunshine J, Staid M, Boardman J, Pieters C, Guasqui P et al (2013) A visible and near-infrared photometric correction for moon mineralogy mapper (m3). Icarus 222(1):229–242
Kruse FA, Boardman JW, Lefkoff AB, Young JM, et al. (1985) HyMap: an Australian hyperspectral sensor solving global problems-results from USA HyMap data acquisitions
Hapke B (1993) Theory of reflectance and emittance spectroscopy. Cambridge University Press, Cambridge, UK
Hicks MD, Buratti BJ, Nettles J, Staid M, Sunshine J, Pieters CM et al (2011) A photometric function for analysis of lunar images in the visual and infrared based on moon mineralogy mapper observations. Journal of Geophysical Research Planets 116(E6):1281–1292
Acknowledgment
This work was supported in partly by the Major Projects of High-resolution Earth Observation System (04-Y20A35-9001-15/17) and jointly by the China Geological Survey Program (121201003000150008).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Yu, J., Yan, B., Liu, W., Li, Y., He, P. (2019). Seamless Mosaicking of Multi-strip Airborne Hyperspectral Images Based on Hapke Model. In: Jiang, M., Ida, N., Louis, A., Quinto, E. (eds) The Proceedings of the International Conference on Sensing and Imaging. ICSI 2017. Lecture Notes in Electrical Engineering, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-91659-0_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-91659-0_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91658-3
Online ISBN: 978-3-319-91659-0
eBook Packages: EngineeringEngineering (R0)