J. Chi

发表

An Optimal Image-Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images

Junhwa Chi, Sooahm Rhee, Taejung Kim, 2021, Remote. Sens..

Validation of the Radiometric Characteristics of Landsat 8 (LDCM) OLI Sensor using Band Aggregation Technique of EO-1 Hyperion Hyperspectral Imagery

J. Chi, 2013 .

Chronological changes in soil biogeochemical properties of the glacier foreland of Midtre Lovénbreen, Svalbard, attributed to soil-forming factors

You Jin Kim, Yong Bok Lee, L. Nilsen, 2022, Geoderma.

Manifold learning based spectral unmixing of hyperspectral remote sensing data

J. Chi, 2013 .

Forecasting Antarctic Sea Ice Concentrations Using Results of Temporal Mixture Analysis

Hyun‐cheol Kim, J. Chi, 2016 .

Machine learning-based temporal mixture analysis of hypertemporal Antarctic sea ice data

Hyun‐cheol Kim, Sung-Ho Kang, J. Chi, 2016 .

A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model

Hyun‐cheol Kim, J. Chi, 2017 .

Time-lapse electrical resistivity tomography and ground penetrating radar mapping of the active layer of permafrost across a snow fence in Cambridge Bay, Nunavut Territory, Canada: correlation interpretation using vegetation and meteorological data

J. Jung, B. Lee, M. Kwon, 2021, Geosciences Journal.

Sea Ice Type Classification with Optical Remote Sensing Data

김현철, Jun-Hwa Chi, J. Chi, 2018 .

Spectral Characteristics of the Antarctic Vegetation: A Case Study of Barton Peninsula

Junhwa Chi, Soon Gyu Hong, Hyun-Cheol Kim, 2021, Remote. Sens..

Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models

Junhwa Chi, James H. Thorne, Hyeyeong Choe, 2021, Remote. Sens..

Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data

Melba M. Crawford, Junhwa Chi, Hyun-Cheol Kim, 2019, Remote Sensing of Environment.

Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network

Junhwa Chi, Hyun-Cheol Kim, Hyun‐cheol Kim, 2017, Remote. Sens..

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks

Hyun‐cheol Kim, J. Chi, 2021, GIScience & Remote Sensing.

Geometric and Radiometric Quality Assessments of UAV-Borne Multi-Sensor Systems: Can UAVs Replace Terrestrial Surveys?

Y. Jeong, Hyuncheol Kim, Sungjae Lee, 2023, Drones.

High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems

M. Crawford, Hyun‐cheol Kim, Jae-In Kim, 2021, Geoscience Data Journal.

Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University

Melba M. Crawford, Junhwa Chi, M. Crawford, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual Loss for Sequence-to-Sequence Arctic Sea Ice Prediction

Junhwa Chi, Jihyun Bae, Young-Joo Kwon, 2021, Remote. Sens..

Research on Analytical Technique for Satellite Observstion of the Arctic Sea Ice

Hyun‐cheol Kim, Hyangsun Han, Sungjae Lee, 2018 .