Prof. Yang-Lang Chang
Professor and Chair of Electrical Engineering at National Taipei University of Technology
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
remote sensing , high performance computing , pattern recognition , hyperspectral image analysis , deep learning
Profile Summary

Yang-Lang Chang received his BS degree in Electrical Engineering from Chung Yuan Christian University, Taiwan; his MS degree in Computer Engineering from Syracuse University; and his PhD degree in Computer Science and Information Engineering from the National Central University, Taiwan. He started his career with NDC IBM Taiwan as a Hardware Design Engineer before joining ALCATEL as a Software Development Engineer. He was a Visiting Scientist of Space Science and Engineering Center at University of Wisconsin-Madison and presently is Professor and Chair in the Department of Electrical Engineering, and Director of High Performance Computing and Deep Learning Lab and NVIDIA-Taipei Tech Embedded GPU Joint Lab in the Department of Electrical Engineering at National Taipei University of Technology. Dr. Chang is a Senior Member of IEEE, a Member of SPIE, Phi Tau Phi Scholastic Honor Society, the Chinese Society of Photogrammetry and Remote Sensing, and the Chinese Society of Image Processing and Pattern Recognition. He has been General Co-Chairs, Workshop Chair, Program Committee members and Session Chairs for several international conferences. He serves as Guest Editors for the special issue on High Performance Computing in Earth Observation and Remote Sensing in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, the special section of Journal of Applied Remote Sensing on High-Performance Computing in Applied Remote Sensing, and the special issue of Remote Sensing on GPU Computing for Geoscience and Remote Sensing. He also served as a General Secretary, and is currently the Chair of Taipei Chapter of IEEE Geoscience and Remote Sensing Society. His research interests are in Remote Sensing, High Performance Computing, Deep Learning, Pattern Recognition, Image Processing, and SAR and hyperspectral images analysis.
Publications (26)

PROCEEDINGS ARTICLE | May 21, 2015
Proc. SPIE. 9501, Satellite Data Compression, Communications, and Processing XI
KEYWORDS: Target detection, Signal to noise ratio, Hyperspectral imaging, Error analysis, Interference (communication), Finite impulse response filters, Monte Carlo methods, Electronic filtering, Hyperspectral target detection, Signal detection

SPIE Journal Paper | January 12, 2015
JRS Vol. 8 Issue 01
KEYWORDS: Remote sensing, Hyperspectral imaging, Visualization, Electromagnetic scattering, LIDAR, Feature extraction, Graphics processing units, Particle swarm optimization, Image understanding, Electrical engineering

SPIE Journal Paper | September 5, 2014
JRS Vol. 8 Issue 01
KEYWORDS: Clouds, LIDAR, Visualization, Remote sensing, 3D displays, LCDs, Light emitting diodes, Data modeling, Visual process modeling, Visual analytics

SPIE Journal Paper | August 13, 2014
JRS Vol. 8 Issue 01
KEYWORDS: Particle swarm optimization, Particles, Hyperspectral imaging, Dimension reduction, Parallel computing, Feature extraction, Computer architecture, Optimization (mathematics), Satellite imaging, Sensors

PROCEEDINGS ARTICLE | May 22, 2014
Proc. SPIE. 9124, Satellite Data Compression, Communications, and Processing X
KEYWORDS: Target detection, Signal to noise ratio, Hyperspectral imaging, Optical filters, Sensors, Digital filtering, Finite impulse response filters, Image filtering, Optimal filtering, Hyperspectral target detection

PROCEEDINGS ARTICLE | September 24, 2013
Proc. SPIE. 8871, Satellite Data Compression, Communications, and Processing IX
KEYWORDS: Signal to noise ratio, Hyperspectral imaging, Image processing, Interference (communication), Monte Carlo methods, Image filtering, Image classification, Electronic filtering, Signal detection, Library classification systems

Showing 5 of 26 publications
Conference Committee Involvement (15)
High-Performance Computing in Geoscience and Remote Sensing
13 September 2018 | Berlin, Germany
High-Performance Computing in Geoscience and Remote Sensing
12 September 2017 | Warsaw, Poland
High-Performance Computing in Geoscience and Remote Sensing
28 September 2016 | Edinburgh, United Kingdom
Remotely Sensed Data Compression, Communications, and Processing XII
20 April 2016 | Baltimore, Maryland, United States
High-Performance Computing in Remote Sensing
21 September 2015 | Toulouse, France
Showing 5 of 15 published special sections
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