User profiles for "author:Sungchan Oh"
Sungchan OhPurdue University Verified email at purdue.edu Cited by 511 |
Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory
Large‐scale ecological sampling networks, such as national forest inventories (NFIs), collect
in situ data to support biodiversity monitoring, forest management and planning, and …
in situ data to support biodiversity monitoring, forest management and planning, and …
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
[HTML][HTML] Plant counting of cotton from UAS imagery using deep learning-based object detection framework
Assessing plant population of cotton is important to make replanting decisions in low plant
density areas, prone to yielding penalties. Since the measurement of plant population in the …
density areas, prone to yielding penalties. Since the measurement of plant population in the …
[HTML][HTML] A comparative study of RGB and multispectral sensor-based cotton canopy cover modelling using multi-temporal UAS data
This study presents a comparative study of multispectral and RGB (red, green, and blue)
sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft …
sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft …
Vision‐based garbage dumping action detection for real‐world surveillance platform
In this paper, we propose a new framework for detecting the unauthorized dumping of
garbage in real‐world surveillance camera. Although several action/behavior recognition …
garbage in real‐world surveillance camera. Although several action/behavior recognition …
Integrating forest structural diversity measurement into ecological research
The measurement of forest structure has evolved steadily due to advances in technology,
methodology, and theory. Such advances have greatly increased our capacity to describe …
methodology, and theory. Such advances have greatly increased our capacity to describe …
A global-local embedding module for fashion landmark detection
Detecting fashion landmarks is a fundamental technique for visual clothing analysis. Due to
the large variation and non-rigid deformation of clothes, localizing fashion landmarks suffers …
the large variation and non-rigid deformation of clothes, localizing fashion landmarks suffers …
[HTML][HTML] High-resolution canopy height model generation and validation using USGS 3DEP LiDAR data in Indiana, USA
Forest canopy height model (CHM) is useful for analyzing forest stocking and its
spatiotemporal variations. However, high-resolution CHM with regional coverage is …
spatiotemporal variations. However, high-resolution CHM with regional coverage is …
ArcMine: A GIS extension to support mine reclamation planning
This paper presents a new GIS extension, named ArcMine, developed to support
reclamation planning in abandoned mining areas. ArcMine provides four tools to (a) assess …
reclamation planning in abandoned mining areas. ArcMine provides four tools to (a) assess …
Unmanned aerial system based tomato yield estimation using machine learning
Recent years have witnessed enormous growth in Unmanned Aircraft System (UAS) and
sensor technology which made it possible to collect high spatial and temporal resolutions …
sensor technology which made it possible to collect high spatial and temporal resolutions …