Integrating ICOPS Time-Series InSAR Measurement with the Convolutional Neural Network (CNN) and Optimized Hot Spot Analysis (OHSA) to Monitor Land Subsidence in Pekalongan, Indonesia
Author:
Affiliation:
1. Kangwon National University,Department of Science Education,Chuncheon-si,Korea,24341
Funder
National Research Foundation of Korea
Ministry of Oceans and Fisheries
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282286.pdf?arnumber=10282286
Reference11 articles.
1. Current subsidence rates due to compaction of Holocene sediments in southern Louisiana
2. A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia;hakim;Korean J Remote Sensing,2020
3. Improved Combined Scatterers Interferometry with Optimized Point Scatterers (ICOPS) for Interferometric Synthetic Aperture Radar (InSAR) Time-series Analysis
4. Analysis of the dynamics of coastal landform change based on the integration of remote sensing and gis techniques: Implications for tidal flooding impact in pekalongan, central java, Indonesia
5. IMPACT OF SEA LEVEL RISE TO COASTAL ECOLOGY: A CASE STUDY ON THE NORTHERN PART OF JAVA ISLAND, INDONESIA
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