Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Chi-Kuei Wang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8346-8359 (2022)
Mapping technologies have improved over time, and autonomous driving techniques have advanced substantially over recent decades. High-definition (HD) maps are key for autonomous driving because of their accurate and rich interpretations of road scene
Externí odkaz:
https://doaj.org/article/4a4918af077c41c488a64565843bd4cf
Autor:
Chung-Cheng Lee, Chi-Kuei Wang
Publikováno v:
GIScience & Remote Sensing, Vol 55, Iss 6, Pp 817-838 (2018)
In tropical forests, the penetration ability of airborne laser scanning (ALS) may be limited because of highly dense vegetation cover. However, in the typical planning of ALS surveys, the ability of laser pulses to penetrate forests is not considered
Externí odkaz:
https://doaj.org/article/cb991897818844bc965c25cf8876b029
Autor:
Pham-Minh Chau, Chi-Kuei Wang
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 3, p 441 (2022)
This study proposes the use of spatial high-resolution Formosat-5 (FS5) images for estimating total suspended matter (TSM) concentrations in a coastal region. Although many atmospheric correction methods are available, none of them are proposed to ap
Externí odkaz:
https://doaj.org/article/4adc70f5ef19411abc3be179deb98a59
Autor:
Nadeem Fareed, Chi-Kuei Wang
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 4, p 254 (2021)
High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, informati
Externí odkaz:
https://doaj.org/article/395c0864196042ec9720ebf69852a375
Autor:
Chi-Kuei Wang, Nadeem Fareed
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 463 (2021)
Wide-area drainage structure (DS) mapping is of great concern, as many DSs are reaching the end of their design life and information on their location is usually absent. Recently, airborne laser scanning (ALS) has been proven useful for DS mapping th
Externí odkaz:
https://doaj.org/article/6c94af831e774a3bb8ab0c88e40689f9
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 194 (2021)
This paper discusses the use of a Geostationary Ocean Color Imager (GOCI) to monitor the spatial–temporal distribution of suspended sediment (SS) along the coastal waters of northern Taiwan which was affected by Typhoon Soudelor from 8 to 10 August
Externí odkaz:
https://doaj.org/article/f525e811aafc47eda09feb65cf8f57ba
Publikováno v:
International Journal of Automation and Smart Technology, Vol 4, Iss 1, Pp 5-11 (2014)
Gravel size distribution is an important aspect of stream investigation. Using water photography to determine such distribution is a simple and cost-effective approach for gathering instream gravel information. However, good-quality images of underwa
Externí odkaz:
https://doaj.org/article/854fad5c7d9642778a6f8ba394f9acd9
Autor:
Chung-Cheng Lee, Chi-Kuei Wang
Publikováno v:
Forests, Vol 9, Iss 8, p 475 (2018)
Forest-related statistics, including forest biomass, carbon sink, and the prevention of forest fires, can be obtained by estimating stand density. In this study, a dataset with the laser pulse density of 225.5 pulses/m2 was obtained using airborne la
Externí odkaz:
https://doaj.org/article/ae44ff2a9f8843d7a9b5f0c2d95d3ce3
Autor:
Chi-Kuei Wang, Yao-Yu Lu
Publikováno v:
Sensors, Vol 9, Iss 7, Pp 5770-5782 (2009)
Intensity value based point cloud segmentation has received less attention because the intensity value of the terrestrial laser scanner is usually altered by receiving optics/hardware or the internal propriety software, which is unavailable to the en
Externí odkaz:
https://doaj.org/article/7cc352dcf8ee4b1495fc47b97df9e157
Autor:
Kai-Wei Chiang, Chi-Kuei Wang, Jung-Hong Hong, Pei-Ling Li, Chin-Sung Yang, Meng-Lun Tsai, Jeffrey Lee, Sean Lin
Publikováno v:
Urban Informatics. 1
Producing high-definition maps (HD maps) is critical for achieving the goal of safe autonomous vehicles. These maps must have sufficient quality to ensure safety in self-driving applications. In this paper, a procedure for the verifying the accuracy