Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hunsoo Song"'
Autor:
Hunsoo Song, Jinha Jung
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6067-6084 (2024)
This study introduces an automated, open-source workflow for large-scale 2D and 3D building mapping using airborne LiDAR data. Uniquely, our workflow operates entirely unsupervised, eliminating the need for any training procedures. We have integrated
Externí odkaz:
https://doaj.org/article/691d677da33f4ca68e338e00f9e485fe
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3568 (2024)
Agricultural land parcels (ALPs) are essential for effective agricultural management, influencing activities ranging from crop yield estimation to policy development. However, traditional methods of ALP delineation are often labor-intensive and requi
Externí odkaz:
https://doaj.org/article/6358df50fdbc4e908476b9584d7be3f8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1113-1129 (2023)
Not all building labels for training improve the performance of the deep learning model. Some labels can be falsely labeled or too ambiguous to represent their ground truths, resulting in poor performance of the model. For example, building labels in
Externí odkaz:
https://doaj.org/article/524106097f394f87b6a68c674924e4bd
Autor:
Hunsoo Song, Jinha Jung
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4105 (2023)
Digital terrain model (DTM) creation is a modeling process that represents the Earth’s surface. An aptly designed DTM generation method tailored for intended study can significantly streamline ensuing processes and assist in managing errors and unc
Externí odkaz:
https://doaj.org/article/52a7c382e6fd4902b60477861d746a13
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2357 (2020)
Meteorological satellite images provide crucial information on solar irradiation and weather conditions at spatial and temporal resolutions which are ideal for short-term photovoltaic (PV) power forecasts. Following the introduction of next-generatio
Externí odkaz:
https://doaj.org/article/7f278be768da43daaf701bcaedc19e9f
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 114 (2019)
This study proposes a light convolutional neural network (LCNN) well-fitted for medium-resolution (30-m) land-cover classification. The LCNN attains high accuracy without overfitting, even with a small number of training samples, and has lower comput
Externí odkaz:
https://doaj.org/article/bb71db04ffec49acad4ce3691e92903a
Autor:
Hunsoo Song, Jinha Jung
Publikováno v:
GIScience & Remote Sensing, Vol 62, Iss 1 (2025)
Comprehensive mapping of surface water, especially smaller bodies of water (
Externí odkaz:
https://doaj.org/article/79aa120cf9714c4bb241d2e5648036ed
Autor:
Hunsoo Song, Jinha Jung
Publikováno v:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d3bfcc02b362c20752b9c23bbbb3b8
https://doi.org/10.1145/3557915.3565983
https://doi.org/10.1145/3557915.3565983
Dissertation/ Thesis
Autor:
Hunsoo Song (18508821)
This dissertation explores the integration of remote sensing and artificial intelligence (AI) in geospatial mapping, specifically through the development of knowledge-based mapping systems. Remote sensing has revolutionized Earth observation by provi
Publikováno v:
Remote Sensing; Volume 12; Issue 15; Pages: 2357
Remote Sensing, Vol 12, Iss 2357, p 2357 (2020)
Remote Sensing, Vol 12, Iss 2357, p 2357 (2020)
Meteorological satellite images provide crucial information on solar irradiation and weather conditions at spatial and temporal resolutions which are ideal for short-term photovoltaic (PV) power forecasts. Following the introduction of next-generatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97d2cee6cd1e822b92acdd50e0c30cac