Thanh Tung Dang; Nhu Hiep Do; Dinh Tinh Pham; Manh Ha Do; The Luan Nguyen; Thi Kim Dung Luong; Thu Hang Ly

doi:10.54491/jgac.2019.40.309

Applied research | No. 40 (2019)

Using the Hopfield neuron network enhances the accuracy of identifying objects smaller than 1 pixel in the spectral image

DOI: 10.54491/jgac.2019.40.309

10.54491/jgac.2019.40.309

Published 2019-06-01

Thanh Tung Dang⁺⁻
Nhu Hiep Do⁺⁻
Dinh Tinh Pham⁺⁻
Manh Ha Do⁺⁻
The Luan Nguyen⁺⁻
Thi Kim Dung Luong⁺⁻
Thu Hang Ly⁺⁻

Thanh Tung Dang

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, 129 Luoyu Road, Wuhan 430079, China/ Hanoi University of Natural Resources and Environment; Hanoi University of Natural Resources and Environment

Nhu Hiep Do

Hanoi University of Natural Resources and Environment

Dinh Tinh Pham

Hanoi University of Natural Resources and Environment

Manh Ha Do

Vietnam Department of Surveying and Geographic Information

The Luan Nguyen

Institute of Marine Geology and Geophysics – Vietnam Academy of Science and Technology

Thi Kim Dung Luong

Vinh Phuc College

Thu Hang Ly

Land Data and Information Center - General Department of Land Administration

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How to Cite

Dang, T. T., Do, N. H., Pham, D. T., Do, M. H., Nguyen, T. L., Luong, T. K. D., & Ly, T. H. (2019). Using the Hopfield neuron network enhances the accuracy of identifying objects smaller than 1 pixel in the spectral image. Journal of Geodesy and Cartography, (40), 27–33. https://doi.org/10.54491/jgac.2019.40.309

Abstract

In the field of remote sensing, soft classification is considered to have higher accuracy than hard classification. For the super resolution, the Hopfield neuron network was used to perform an opti-mization problem in determining the position of the layer in each pixel. This study evaluates the effectiveness of the new algorithm with the SPOT4 image and the new method can increase the accuracy of all layers, especially those of smaller 1 pixel.

https://doi.org/10.54491/jgac.2019.40.309

PDF (Tiếng Việt) | Download: 53

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