Intelligent GeoScience & Remote Sensing (IGRS) Lab

1. Rainfall estimate based on satellite images

2. Mangrove mapping and analysis based on satellite images

3. Land Cover and Land Usage (LC/LU) analysis based on satellite images

4. Computer Vision ( Face Expression Generation, Few Shot learning )

International Journal Papers ( *Co-First Author ) ( *Corresponding Author ) ( Google Scholar )

1. Ying-Nong Chen, C. C. Han, C. T. Wang, and K. C. Fan, "Face Recognition Using Nearest Feature Space Embedding", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 33, No. 6 (2011) pp.1073-1086. (SCI, IF 24.31). Representative work.

2. Amalia Gita Ayudyanti, Ying-Nong Chen**, Ilham Jamaluddin, Tipajin Thaipisutikul, and H. Ren, "A Deep Learning model for SuperResolution", Submitted.

3. Ying-Nong Chen, Ilham Jamaluddin, Tipajin Thaipisutikul, and Yen-Ting Lin, "Mangrove Detection based on Deep Learning", Preparing.

4. Ying-Nong Chen, Ilham Jamaluddin, Tipajin Thaipisutikul, and Jakkrit Tansue, "Rainfall Estimation Based on Deep Learning", Preparing.

5. Muhammad Tufail, Ying-Nong Chen, Ilham Jamaluddin, and K. C. Fan, "Mangrove Detection based on Deep Learning", Preparing.

6. Ilham Jamaluddin, Ying-Nong Chen*, and K. C. Fan, "A Spatial-Spectral-Temporal Deep Regression model based on Convolutional-LSTM-Transformer for large area Mangrove Canopy Height Mapping Using Sentinel-1 time series and Sentinel-2", IEEE Transactions on Geoscience and Remote Sensing (TGRS), Vol. 62, (2024); https://doi.org/10.1109/TGRS.2024.3362788. (SCI, IF 8.6).

7. Y. L. Chang, J. N. Liu, C. C. Han, and Ying-Nong Chen, "Hyperspectral Image Classification Using Nearest Feature Line Embedding Approach", IEEE Transactions on Geoscience and Remote Sensing (TGRS), Vol. 52, Issue. 1, Part 1 (2014) pp.278-287. (SCI, IF 8.6).

8. Y. C. Wang, C. C. Han, C. T. Hsieh, Ying-Nong Chen, and K. C. Fan, "Biased Discriminant Analysis with Feature Line Embedding for Relevance Feedback-Based Image Retrieval", IEEE Transactions on Multimedia (TMM), Vol. 17, No. 12 (2015) pp. 2245-2258. (SCI, IF 9.7).

9. Mega Saputra, Ying-Nong Chen**, Ilham Jamaluddin, Tipajin Thaipisutikul, and H. Ren, "HSEFormer: A Hierarchical Spatial Feature Extraction for Multimodal Image Classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR), (SCI, IF 5.3), Submitted.

10. Ilham Jamaluddin, Ying-Nong Chen**, Amalia Gita Ayudyanti, L. Hui, and K. C. Fan, "A 3D Spatial–Spectral–Temporal Deep Regression Model for Improving Mangrove Canopy Height Estimation Through Fusion of Optimized Red-Edge Sentinel-2 Bands and Sentinel-1 SAR Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR), (2025); https://doi.org/10.1109/JSTARS.2025.3604820 (SCI, IF 5.3)

11. Ilham Adi Panuntun, Ilham Jamaluddin, Ying-Nong Chen*, S. N. Lai, and K. C. Fan, "LinkNet-Spectral-Spatial-Temporal Transformer based on Few Shot Learning for Mangrove Loss Detection with Small Dataset", Remote Sensing, (2024);  https://doi.org/10.3390/rs16061078 (SCI, IF 5.35).

12. Ying-Nong Chen*, Kuo-Chin Fan, Yang-Lang Chang, and Toshifumi Moriyama, "Special Issue Review: Artificial Intelligence and Machine Learning with Applications in Remote Sensing",  Remote Sensing, (2023); https://doi.org/10.3390/rs15030569 (SCI, IF 5.35)

13. Tipajin Thaipisutikul, and Ying-Nong Chen, "An Improved Deep Sequential model for Context-Aware POI Recommendation",  Multimedia Tools and Applications, (2023); https://doi.org/10.1007/s11042-023-15540-5 (SCI, IF 3.6)

14. F. Simanjuntak, Ilham Jamaluddin, T. H. Lin, H. A. W. Siahaan, and Ying-Nong Chen, "Rainfall Forecast Using Machine Learning with High Spatio-Temporal Satellite Imagery Every 10 Minutes", Remote Sensing, (2022); https://doi.org/10.3390/rs14235950 (SCI, IF 5.35)

15. Putu Aryastana, Chian-Yi Liu, Ben Jou, E. Cayanan, J. Punay, and Ying-Nong Chen, "Assessment of Satellite Precipitation Datasets for High Variability and Rapid Evolution Typhoon Precipitation Events in the Philippines", Earth and Space Science, (2022); https://doi.org/10.1029/2022EA002382 (SCI, IF 3.68)

16. Ilham Jamaluddin, Ying-Nong Chen, Syafiq Muhammad Ridha, Panji Mahyatar, and Amalia Gita Ayudyanti, "Two Decades Mangroves Loss Monitoring Using Random Forest and Landsat Data in East Luwu, Indonesia (2000–2020)", Geomatics, (2022); https://doi.org/10.3390/geomatics2030016 (SCI, IF 2.8)

17. Y. L. Chang, T. H. Tan, W. H. Lee, L. Chang, Ying-Nong Chen, K. C. Fan, and M. Alkhaleefah, "Consolidated Convolutional Neural Network for Hyperspectral Image Classification", Remote Sensing, (2022); https://doi.org/10.3390/rs14071571 (SCI, IF 5.35)

18. Ying-Nong Chen, Tipajin Thaipisutikul, C. C. Han, T. J. Liu, and K. C. Fan, "Feature Line Embedding based on Support Vector Machine for Hyperspectral Image Classification", Remote Sensing, (2021); https://doi.org/10.3390/rs13010130 (SCI, IF 5.35). Review Reports | Citations

19. Ilham Jamaluddin, Tipajin Thaipisutikul, Ying-Nong Chen*, Chi-Hung Chuang, and Chih-Lin Hu, "MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 using Sentinel-2 Data", Remote Sensing, (2021); https://doi.org/10.3390/rs13245042 (SCI, IF 5.35). Review Reports

20. Ying-Nong Chen*, "Multiple Kernel Feature Line Embedding for Hyperspectral Image Classification", Remote Sensing, (2019); doi: 10.3390/rs11242892 (SCI, IF 5.35).

21. Ying-Nong Chen, C. T. Hsieh, M. G. Wen, C. C. Han, and K. C. Fan, "A Dimension Reduction Framework for HSI Classification Using Fuzzy and Kernel NFLE Transformation", Remote Sensing, Vol. 7 (2015) pp. 14292-14326. (SCI, IF 5.35).

22. C. C. Han, Ying-Nong Chen, C. C. Lo, and C. T. Wang, “A Novel Approach for VQ Using Neural Network, Mean Shift, and Principal Component Analysis”, Signal Processing, Vol.87, No.5 (2007) pp.799-810. (SCI, IF 4.73).

23. Ying-Nong Chen, C. H. Chuang, H. M. Lee, C. C. Yu, and K. C. Fan, "Fall Detection in Dusky Environment", EURASIP Journal on Image and Video Processing, (2016): 16, DOI: 10.1186/s13640-016-0115-8 (SCI, IF 2.4).

24. Ying-Nong Chen, C. C. Han, G. F. Ho, and K. C. Fan, "Face/License Plate Detection Using a Two-Stage Cascaded Detector with a Single Convolution-based Feature Map", International Journal of Advanced Robotic Systems, (2016), DOI: 10.5772/61477 (SCI, IF 2.3).

25. G. F. Ho, Ying-Nong Chen, C. C. Han and K. C. Fan, "Face Recognition and Gender Classification Using Orthogonal Nearest Neighbour Feature Line Embedding", International Journal of Advanced Robotic Systems, Vol. 9, 101 (2012). (SCI, IF 2.3).

26. Y. C. Wang, Ying-Nong Chen, H. Y. Huang, and K. C. Fan, "Local Block-Difference Pattern for Use in Gait-based Gender Classification", Journal of Information Science and Engineering, Vol. 31, No. 6 (2015) pp. 1993-2008. (SCI, IF 1.142).

27. Ying-Nong Chen, C. C. Han, C. T. Wang, and K. C. Fan, "A Novel Scheme for Face Recognition and Authentication against Pose, Illumination and Expression Changes", Journal of Information Science and Engineering, Vol.27, No.1 (2011) pp.369-380.(SCI, IF 1.142).

28. C. C. Yu,  Ying-Nong Chen, H. Y. Cheng, J.N. Hwang and K. C. Fan, "Connectivity based Human Body Modeling and Behavior Analysis from Monocular Camera", Journal of Information Science and Engineering, Vol.26, No.2 (2010) pp.363-377. (SCI, IF 1.142).

29. J. L. Shih, Ying-Nong Chen, K. C Yan and C. C. Han, "Illegal Entrant Detection at a Restricted Area in Open Spaces Using Color Features", Journal of Information Science and Engineering, Vol.25, No.5 (2009) pp.1575-1592. (SCI, IF 1.142).

30. C. C. Chang, C. C. Han, C. C. Lien, Ying-Nong Chen, and Y. C. Lin, “Human Behavior Classification from MPEG Compressed Videos”, Optical Engineering, Vol.47(2) (2008).(SCI, IF 1.113).

31. Coming Soon ~

International Conference Papers

1. Ilham Jamaluddin1, Ying-Nong Chen*, and Ilham Adi Panuntun, "Modified U-Net by Adding Twin Extractors for Multi-Sensor Satellite Images Fusion to Map Mangrove Forest," Asian Conference on Remote Sensing 2023( ACRS 2023), ( JSPRS Award - the 1st place ).

2. Ilham Adi Panuntun1, Ying-Nong Chen*, Ilham Jamaluddin, and Thi Linh Chi Tran, "Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery,"  Asian Conference on Remote Sensing 2023( ACRS 2023).

3. Ilham Jamaluddin, Ying-Nong Chen, William Krista Mahendra, and Disyacitta Awanda, "Deep Neural Network Regression for Estimating Land Surface Temperature at 10 Meter Spatial Resolution Using Landsat-8 and Sentinel-2 Data," The 7th Geoinformation Science Symposium 2021, ( Best Paper Award ).

4. Ying-Nong Chen, CC Han, CT Wang, BS Jeng, and KC Fan, "The application of a convolution neural network on face and license plate detection," 18th International Conference on Pattern Recognition (ICPR'2006) 3, pp. 552-555.

5. Coming Soon ~

Honors and Awards (論文獎)

1.  JSPRS AWARD (1st place on JSPRS AWARD in ACRS 2023) - Asian Conference on Remote Sensing 2023

2.  Best Paper Award - The 7th Geoinformation Science Symposium 2021

Technology Transfer (技術移轉)

1. Coming Soon ~

Patent

1. C. C. Han, Ying-Nong Chen, "Object image detection method", U.S. Patent 8,055,018, issued 2011.

2. Coming Soon ~