Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images

GH Kwak, NW Park - Remote Sensing, 2022 - mdpi.com
Crop type mapping is regarded as an essential part of effective agricultural management.
Automated crop type mapping using remote sensing images is preferred for the consistent …

[HTML][HTML] Application of the domain adaptation method using a phenological classification framework for the land-cover classification of North Korea

J Kim, HW Jo, W Kim, Y Jeong, E Park, S Lee, M Kim… - Ecological …, 2024 - Elsevier
Efforts to achieve carbon neutrality are global, encompassing a wide range of factors. For
the estimation of greenhouse gas emissions from the agriculture, forestry, and other land …

Comparison of spatio-temporal fusion models of multiple satellite images for vegetation monitoring

Y Kim, NW Park - Korean Journal of Remote Sensing, 2019 - koreascience.kr
For consistent vegetation monitoring, it is necessary to generate time-series vegetation
index datasets at fine temporal and spatial scales by fusing the complementary …

Monitoring on crop condition using remote sensing and model

K Lee, C Park, S Na, MP Jung, J Kim - Korean Journal of Remote …, 2017 - koreascience.kr
The periodic monitoring of crop conditions and timely estimation of crop yield are of great
importance for supporting agricultural decision-makings, as well as for effectively coping …

Development of a forecasting model for traffic accident probability on icy roads using deep learning

Y Kim, M Lee, Y Yun, Y Jun, KS Kim - Journal of Korean Society of …, 2022 - safetylit.org
The number of traffic accidents caused by wintertime icy roads is increasing every year.
Vehicle collisions on such frozen roads can cause fatalities, serious injuries, and property …

Remote Sensing Applications in Korea

HS Jung, SE Park, JS Kim, NW Park… - Korean Journal of …, 2019 - koreascience.kr
As there is a growing interest in remote sensing applications, the Korean Society of Remote
Sensing has published several special issues in which articles on specific research topics …

딥러닝을이용한결빙노면상의교통사고발생예측모형개발

김영곤, 이민우, 윤여정, 전용주, 김광식 - 대한교통학회지, 2022 - dbpia.co.kr
겨울철 도로결빙으로 인해 교통사고 발생건수가 매년 증가하는 추세를 보이고 있다. 결빙된
도로에서의 차량 충돌은 심각한 인적, 물적 사고를 야기할 수 있기 때문에 이에 대한 종합적 …

[PDF][PDF] 원격탐사와모델을이용한작황모니터링

이경도, 박찬원, 나상일, 정명표, 김준환 - 대한원격탐사학회지, 2017 - academia.edu
농작물 작황 추정은 생산량 예측을 통한 수급 조절, 가격 예측, 농가 소득 보전을 위한 정책 수립
등에 중요한 판단자료로 활용된다. 급변하는 국내외 여건에서 작물의 안정생산과 식량안보 …

Automatic Extraction of Training Data Based on Semi-supervised Learning for Time-series Land-cover Mapping

GH Kwak, NW Park - Korean Journal of Remote Sensing, 2022 - koreascience.kr
This paper presents a novel training data extraction approach using semi-supervised
learning (SSL)-based classification without the analyst intervention for time-series land …

[PDF][PDF] 식생모니터링을위한다중위성영상의시공간융합모델비교

김예슬, 박노욱 - Korean Journal of Remote Sensing, 2019 - researchgate.net
지속적인 식생 모니터링을 위해서는 다중 위성자료의 시간 및 공간해상도의 상호 보완적
특성을 융합한 높은 시공간해상도에서의 식생지수 생성이 필요하다. 이 연구에서는 식생 …