Analysis of Correction Methods for Digital Terrain Models Based on Satellite Data
- Autores: Pavlova A.I.1, Pavlov A.V.2
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Afiliações:
- Novosibirsk State University of Economics and Management
- Novosibirsk State Technical University
- Edição: Volume 54, Nº 5 (2018)
- Páginas: 445-450
- Seção: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212556
- DOI: https://doi.org/10.3103/S8756699018050035
- ID: 212556
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Resumo
Correction algorithm for digital terrain models derived from remote sensing of the Earth’s surface are analyzed. The accuracy of the ASTER GDEM2, SRTM X-band, and ALOS DMS global digital elevation models were analyzed, showing that ALOS DMS images have the smallest absolute and relative errors for different relief conditions (flat, hilly and highly dissected plains) of the Novosibirsk oblast’. A comparative analysis of the algorithms proposed by Wang and Liu, Plantchon and Darboux, Pelletier, and Tarboton was performed to eliminate artifacts on original satellite images associated with local topographic lows (depressions, pits). The smallest errors for different terrain conditions were obtained using the algorithm of Wang and Liu.
Sobre autores
A. Pavlova
Novosibirsk State University of Economics and Management
Autor responsável pela correspondência
Email: annstab@mail.ru
Rússia, ul. Kamenskaya 52, Novosibirsk, 630099
A. Pavlov
Novosibirsk State Technical University
Email: annstab@mail.ru
Rússia, pr. Karla Marksa 20, Novosibirsk, 630073
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