Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kuan-Tsung Chang"'
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 8202-8223 (2015)
Land subsidence is a worldwide problem that is typically caused by human activities, primarily the removal of groundwater. In Western Taiwan, groundwater has been pumped for industrial, residential, agricultural, and aquacultural uses for over 40 yea
Externí odkaz:
https://doaj.org/article/f134eccee63e4f68bf6587cf85da48de
Publikováno v:
Remote Sensing, Vol 7, Iss 4, Pp 4318-4342 (2015)
This paper proposes an automatic method for detecting landslides by using an integrated approach comprising object-oriented image analysis (OOIA), a genetic algorithm (GA), and a case-based reasoning (CBR) technique. It consists of three main phases:
Externí odkaz:
https://doaj.org/article/c31757b54e06426c84af3c5db6de6d89
Autor:
Kuan-Tsung Chang, Feng-Chi Yu, Yi Chang, Jin-Tsong Hwang, Jin-King Liu, Wei-Chen Hsu, and Peter Tian-Yuan Shih
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 26, Iss 2-II, p 169 (2015)
The geomorphology of Taiwan is characterized by marked changes in terrain, geological fractures, and frequent natural disasters. Because of sustained economic growth, urbanization and land development, the land cover in Taiwan has undergone frequent
Externí odkaz:
https://doaj.org/article/77c50334d5114953a35a5eb087b98f32
Publikováno v:
Soft Computing. 25:12839-12855
Pavement rutting refers to surface depression in the wheel-path along an asphalt road which causes loss of steering control and consequently leads to serious traffic accidents. Hence, it is necessary to develop powerful methods to accurately recogniz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ad53cbccd4b486291ee79022d2032de
https://doi.org/10.1007/s00500-021-06086-5
https://doi.org/10.1007/s00500-021-06086-5
This study presents a novel computer vision based approach to automatically identify rutting appeared on asphalt pavement of road. The developed model is established base on a hybridization of image processing techniques and an advanced machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e8a737ab38e3e233985d68c216a073c
https://doi.org/10.21203/rs.3.rs-334982/v1
https://doi.org/10.21203/rs.3.rs-334982/v1
Publikováno v:
Journal of Marine Science and Technology. 29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a758db04e83dadfd91afd66058c452
https://doi.org/10.51400/2709-6998.1000
https://doi.org/10.51400/2709-6998.1000
Publikováno v:
Advances in Engineering Software. 159:103031
This paper presents a novel artificial intelligence model to automatically recognize concrete spall appearing on building components. The model is constructed by integrating a metaheuristic optimization algorithm, advanced image processing techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::954ff57be00646d4d93096e1212e59ac
https://doi.org/10.1016/j.advengsoft.2021.103031
https://doi.org/10.1016/j.advengsoft.2021.103031
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-21 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-21 (2019)
The quality of digital elevation models (DEMs), as well as their spatial resolution, are important issues in geomorphic studies. However, their influence on landslide susceptibility mapping (LSM) remains poorly constrained. This work determined the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4868d11bf6ec51caae40b1cd175a0974
http://europepmc.org/articles/PMC6707277
http://europepmc.org/articles/PMC6707277
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 585-588 (2016)
Forest canopy density and height are used as variables in a number of environmental applications, including the estimation of biomass, forest extent and condition, and biodiversity. The airborne Light Detection and Ranging (LiDAR) is very useful to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ae9549dfc0b9447d29b9859210c489
https://doi.org/10.5194/isprs-archives-xli-b8-585-2016
https://doi.org/10.5194/isprs-archives-xli-b8-585-2016
Publikováno v:
2018 IEEE International Conference on Advanced Manufacturing (ICAM).
The sentinel-1 Synthetic Aperture Radar image analysis technology is conducted to measure river width in a multitemporal change in this study. With the field surveying work, two Sentinel-1A images taken on March 14 and May 24, 2018, have been obtaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef5cd6d0cabe9b3d672343b3a3ccc1d
https://doi.org/10.1109/amcon.2018.8615102
https://doi.org/10.1109/amcon.2018.8615102