Projects per year
Personal profile
Research Expertise
Image processing, pattern recognition
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Ying-Nong Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
基於卷積-LSTM-Transformer的空間-光譜-時間深度回歸模型，用於大面積紅樹林冠層高度預測
Chen, Y.-N. (PI)
1/08/24 → 31/07/25
Project: Research
-
Generative Adversarial Net Based on Feature Line Embedding
Chen, Y.-N. (PI)
1/08/19 → 31/07/20
Project: Research
-
Integrate the Deep Learning with the Nearest Feature Line Embedding for Hyper Spectral Image Classification
Chen, Y.-N. (PI)
1/01/19 → 31/12/19
Project: Research
-
Exploring red-edge spectral indices for mangrove canopy height mapping using random forest regression with Sentinel-2 and spaceborne GEDI LiDAR data
Jamaluddin, I., Chen, Y. N., Ayudyanti, A. G. & Fan, K. C., 2025, Land Surface and Cryosphere Remote Sensing V. Chen, J. M. & Hwang, C. (eds.). SPIE, 1326306. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13263).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
An improved deep sequential model for context-aware POI recommendation
Thaipisutikul, T. & Chen, Y. N., Jan 2024, In: Multimedia Tools and Applications. 83, 1, p. 1643-1668 26 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
EVALUATING DEEP LEARNING SEMANTIC SEGMENTATION ARCHITECTURES FOR MANGROVE MAPPING AND MONITORING USING SENTINEL-2 DATA (CASE STUDY: COASTAL ZONE OF ROOKERY BAY, FLORIDA, USA)
Jamaluddin, I. & Chen, Y. N., 2024, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet. Blanco, A., Rimba, A. B., Roelfsema, C. & Arjasakusuma, S. (eds.). SPIE, 129771U. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12977).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset
Panuntun, I. A., Jamaluddin, I., Chen, Y. N., Lai, S. N. & Fan, K. C., Mar 2024, In: Remote Sensing. 16, 6, 1078.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Performance comparison of different algorithms for land surface temperature (LST) retrieval from Landsat-8 and the use of deep neural network regression to enhance the LST result (Case Study: Dallas, Texas and surrounding areas)
Ayudyanti, A. G., Chen, Y. N. & Jamaluddin, I., 2024, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications VIII. Imasu, R., Chang, L.-H. & Tsai, F. (eds.). SPIE, 132660S. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13266).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review