Research on the Development of Extraction and Standardization Algorithms for Channel Valley Spatial Information in Hwangdo Tidal Flats-Reference-Cited by-同舟云学术

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Research on the Development of Extraction and Standardization Algorithms for Channel Valley Spatial Information in Hwangdo Tidal Flats

Published:2024-07-07 Issue: Volume:7 Page:9790-9793
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yun Ga-Ram¹,Jang Yeong Jae²,Kim Kye Lim²,Kim Keunyong²,Lee Moungjin³,Ryu Joo-Hyung²,Lee Seung-Kuk⁴

Affiliation:

1. Pukyong National University,Division of Earth Environmental System Science (Major of Earth Environmental Science),Republic of Korea

2. Korea Institute of Ocean Science & Technology,Korea Ocean Satellite Center,Republic of Korea

3. Korea Environment Institute,Center for Environmental Data Strategy,Republic of Korea

4. Pukyong National University,Department of Earth and Environmental Sciences,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641919.pdf?arnumber=10641919

Reference5 articles.

1. Classification of sedimentary facies using IKONOS image in Hwangdo tidal flat, Cheonsu bay;Ryu;Journal of Wetlands Research,2005

2. An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling

3. Precise particle tracking against a complicated background: polynomial fitting with Gaussian weight

4. Edge-preserving polynomial fitting method to suppress random seismic noise

5. Polynomial Fitting Algorithm Based on Neural Network

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