Výsledky vyhledávání - "Song, Hunsoo"

Report

AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing

Autor: Liu, Chenying, Song, Hunsoo, Shreevastava, Anamika, Albrecht, Conrad M

Local climate zones (LCZs) established a standard classification system to categorize the landscape universe for improved urban climate studies. Existing LCZ mapping is guided by human interaction with geographic information systems (GIS) or modelled

Externí odkaz: http://arxiv.org/abs/2405.13993

Zobrazit plný text záznamu

Report

Assessment of Local Climate Zone Products via Simplified Classification Rule with 3D Building Maps

Autor: Song, Hunsoo, Cervini, Gaia, Jung, Jinha

This study assesses the performance of a global Local Climate Zone (LCZ) product. We examined the built-type classes of LCZs in three major metropolitan areas within the U.S. A reference LCZ was constructed using a simple rule-based method based on h

Externí odkaz: http://arxiv.org/abs/2309.15978

Zobrazit plný text záznamu

Report

Scalable Surface Water Mapping up to Fine-scale using Geometric Features of Water from Topographic Airborne LiDAR Data

Autor: Song, Hunsoo, Jung, Jinha

Despite substantial technological advancements, the comprehensive mapping of surface water, particularly smaller bodies (<1ha), continues to be a challenge due to a lack of robust, scalable methods. Standard methods require either training labels or

Externí odkaz: http://arxiv.org/abs/2301.06567

Zobrazit plný text záznamu

Akademický článek

Cadastral-to-Agricultural: A Study on the Feasibility of Using Cadastral Parcels for Agricultural Land Parcel Delineation.

Autor: Kim, Han Sae¹ (AUTHOR) kim4012@purdue.edu, Song, Hunsoo¹ (AUTHOR), Jung, Jinha¹ (AUTHOR) jinha@purdue.edu

Publikováno v: Remote Sensing. Oct2024, Vol. 16 Issue 19, p3568. 20p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually

Autor: Song, Hunsoo, Jung, Jinha

Publikováno v: Remote Sensing. 2023, 15(16), 4105

The digital terrain model (DTM) is fundamental geospatial data for various studies in urban, environmental, and Earth science. The reliability of the results obtained from such studies can be considerably affected by the errors and uncertainties of t

Externí odkaz: http://arxiv.org/abs/2208.11243

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

An unsupervised, open-source workflow for 2D and 3D building mapping from airborne LiDAR data

Autor: Song, Hunsoo, Jung, Jinha

Despite the substantial demand for high-quality, large-area building maps, no established open-source workflow for generating 2D and 3D maps currently exists. This study introduces an automated, open-source workflow for large-scale 2D and 3D building

Externí odkaz: http://arxiv.org/abs/2205.14585

Zobrazit plný text záznamu