Apichon Witayangkurn
Biographic Data
| ID | 9813566 |
|---|---|
| NAME | Apichon Witayangkurn |
| GIVEN NAMES | Apichon |
| FAMILY NAME | Witayangkurn |
| SIGNATURE | WITAYANGKURN A |
| AFFILIATIONS | Thammasat University |
| ORCID | 0000-0003-1454-1820 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Development of Big Data-Analysis Pipeline for Mobile Phone Data with Mobipack and Spatial Enhancement
Frequent and granular population data are essential for decision making. Further-more, for progress monitoring towards achieving the sustainable development goals (SDGs), data availability at global scales as well as at different disaggregated levels is required. The high population coverage of mobile cellular signals has been accelerating the generation of large-scale spatiotemporal data such as call detail record (CDR) data. This has enabled re…
Impacts of disaster and land-use change on food security and adaptation
Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images
Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-date building maps have become vital for many applications, including urban mapping and urban expansion analysis. With the development of deep learning, segmenting building footprints from high-resolution remote sensing imagery has become a subject of intense study. Here, a modified version of the U-Net architecture with a combination of pre- and post-proces…
No prominent works on this page.
Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images
Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-date building maps have become vital for many applications, including urban mapping and urban expansion analysis. With the development of deep learning, segmenting building footprints from high-resolution remote sensing imagery has become a subject of intense study. Here, a modified version of the U-Net architecture with a combination of pre- and post-proces…
Development of Big Data-Analysis Pipeline for Mobile Phone Data with Mobipack and Spatial Enhancement
Frequent and granular population data are essential for decision making. Further-more, for progress monitoring towards achieving the sustainable development goals (SDGs), data availability at global scales as well as at different disaggregated levels is required. The high population coverage of mobile cellular signals has been accelerating the generation of large-scale spatiotemporal data such as call detail record (CDR) data. This has enabled re…
Impacts of disaster and land-use change on food security and adaptation
Geography (3 works) · Computer Science (2 works) · Population (2 works) · Aerial image (1 work) · Agricultural productivity (1 work) · Agriculture (1 work) · Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work) · Big data (1 work) · Business (1 work)