Jungho Im

Media Technology · 2005–2016

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 37 citations into it; #564 of 3,621 by trust here, #494 by citations
• Ecology — 25 citations into it; #1,478 of 10,717 by trust here, #2,432 by citations
• Atmospheric Science — 23 citations into it; #398 of 4,804 by trust here, #721 by citations
• Nature and Landscape Conservation — 18 citations into it; #4,311 of 6,941 by trust here, #5,887 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• Environmental Engineering — 17 citations into it; #3,643 of 5,479 by trust here, #2,775 by citations
• Insect Science — 12 citations into it; #1,278 of 2,259 by trust here, #1,332 by citations

Whom Jungho Im trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hassiba Nemmour
2. Mingjun Song
3. Thomas Blaschke
4. Erik Næsset
5. Giles M. Foody
6. J. Ross Quinlan

Who trusts Jungho Im overall

1. Zhenwei Shi
2. Thomas Blaschke
3. A. Tewkesbury
4. Masroor Hussain
5. R. Hall
6. Qian Shi
7. Abdulhakim M. Abdi
8. Alexis J. Comber
9. Xingyu Jiang
10. Dongmei Chen

Papers from Jungho Im's perspective

Ordered by how strongly the researchers Jungho Im trusts endorse each paper. Same corpus, a different order for every researcher.

1. Object-based contextual image classification built on image segmentation
2. Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees
3. Road Extraction Using SVM and Image Segmentation
4. Multiple support vector machines for land cover change detection: An application for mapping urban extensions
5. The Nature of Statistical Learning Theory
6. Random Forests
7. Support-Vector Networks
8. A Tutorial on Support Vector Machines for Pattern Recognition
9. A training algorithm for optimal margin classifiers
10. Statistical learning theory

Their papers

• Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions (2016) — 316 citations
• Forest biomass estimation from airborne LiDAR data using machine learning approaches (2012) — 323 citations
• Support vector machines in remote sensing: A review (2011) — 3,131 citations
• Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification (2010) — 314 citations
• Object‐based change detection using correlation image analysis and image segmentation (2008) — 459 citations
• A change detection model based on neighborhood correlation image analysis and decision tree classification (2005) — 358 citations