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| Author(s): |
Raquel Alves de Oliveira
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | Presidente Prudente. 2017-12-07. |
| Institution: | Universidade Estadual Paulista (Unesp). Faculdade de Ciências e Tecnologia. Presidente Prudente |
| Defense date: | 2017-06-29 |
| Advisor: | Antonio Maria Garcia Tommaselli; Eija Honkavaara |
| Abstract | |
Recently, miniaturized hyperspectral sensors, operable from small Remotely Piloted Aerial Systems (RPAS), have entered the market and some of these sensors acquire hyperspectral bands in frame geometry. Images of the lightweight hyperspectral 2D frame camera can be used to generate high-resolution hyperspectral digital surface models (HDSMs), without the registration of data from different sensors or different dates of acquisition. HSDMs increase the knowledge about the targets since it allows modeling the target reflectance using data coming from different directions. In this study, the hyperspectral 2D frame camera used does not acquire all bands instantaneously, causing band misalignment due to the platform motion. The main aims of this project were to study and develop techniques for the generation of HDSMs in forest areas, studying and assessing the main steps to process the hyperspectral 2D frame camera images until the HDSM generation. Considering that the camera technology is based on tunable filters, the study have assessed the orientation and DSM generation steps: the self-calibrating bundle adjustment to verify the behaviour of the interior orientation parameters using different spectral bands; the co-registration of the bands using 2D geometric transformation; the exterior orientation parameter estimation. Regarding to the DSM generation, an approach based on object space image matching was developed, adapting the vertical line locus (VLL) method for HDSM generation, and was named as hyperspectral VLL (HVLL). Additionally, the use of image classification data was investigated in order to adapt the image matching parameters and improve the process of image matching for different objects (hyperspectral VLL classes - HVLLC). Further, multiple bands were used and the spectral and multiangular viewing geometry were computed simultaneously to the image matching method. Quality assessment was performed by comparing to DSMs generated to those produced by commercial software and also by Airborne Laser Scanning (ALS) data. This investigation demonstrated that the proposed technique can be used to generate integrated 3D information and multiangular hyperspectral data from hyperspectral 2D frame camera. The assessment of all steps showed that the hyperspectral 2D frame technology can provide accurate geometric and spectral data and the resulting HDSMs have potential for several remote sensing applications. (AU) | |
| FAPESP's process: | 13/17787-3 - DEVELOPMENT AND ASSESSMENT OF TECHNIQUES FOR GENERATION OF DENSE POINTS CLOUD USING HYPERSPECTRAL IMAGES ACQUIRED BY UAV |
| Grantee: | Raquel Alves de Oliveira |
| Support Opportunities: | Scholarships in Brazil - Doctorate |