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Hsiuhan Lexie Yang
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2020 – today
- 2024
- [j18]Jacob Arndt, Jason Wohlgemuth, Hsiuhan Lexie Yang, Jordan Bowman, Dalton D. Lunga, Dawn King:
A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j17]Hsiuhan Lexie Yang, Nikhil Makkar, Melanie Laverdiere, Amy N. Rose:
Boundary-Aware Adversarial Learning Domain Adaption and Active Learning for Cross-Sensor Building Extraction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9122-9138 (2024) - [c25]Daniel S. Adams, Taylor Hauser, Hsiuhan Lexie Yang, Peter Li:
Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification. GeoAI@SIGSPATIAL 2024: 15-26 - [c24]Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. SIGSPATIAL/GIS 2024: 597-600 - [c23]Hunsoo Song, Hsiuhan Lexie Yang:
Efficient Extraction Of Building Elevation Attributes For Flood Risk Management Using Airborne LiDAR Data. IGARSS 2024: 8642-8644 - [e3]Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1176-3 [contents] - [i6]Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. CoRR abs/2410.19965 (2024) - 2023
- [j16]Hunsoo Song, Hsiuhan Lexie Yang, Jinha Jung:
Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1113-1129 (2023) - [c22]Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga:
An Agenda for Multimodal Foundation Models for Earth Observation. IGARSS 2023: 1237-1240 - [c21]Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth:
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. IGARSS 2023: 1400-1403 - [c20]Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman:
Scaling Automatic Vector Data Alignment to Satellite Imagery. IGARSS 2023: 1676-1679 - [e2]Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- [j15]Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai:
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14(1): 23-25 (2022) - [j14]Nikhil Makkar, Hsiuhan Lexie Yang, Saurabh Prasad:
Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 150-162 (2022) - [i5]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR abs/2210.13207 (2022) - 2021
- [j13]Yuchi Ma, Zhou Zhang, Hsiuhan Lexie Yang, Zhengwei Yang:
An adaptive adversarial domain adaptation approach for corn yield prediction. Comput. Electron. Agric. 187: 106314 (2021) - [j12]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13(3): 21-32 (2021) - [c19]Jordan Bowman, Lexie Yang:
Few-shot Learning for Post-disaster Structure Damage Assessment. GeoAI@SIGSPATIAL 2021: 27-32 - [e1]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - 2020
- [j11]Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 271-283 (2020) - [c18]Nikhil Makkar, Hsiuhan Lexie Yang:
Entropy and Boundary Based Adversarial Learning for Large Scale Unsupervised Domain Adaptation. IGARSS 2020: 589-592 - [c17]Melanie Laverdiere, Hsiuhan Lexie Yang, Mark A. Tuttle, Chris Vaughan:
Rapid Structure Detection in Support of Disaster Response: A Case Study of the 2018 Kilauea Volcano Eruption. IGARSS 2020: 6826-6829 - [c16]Tao Liu, Hsiuhan Lexie Yang:
A Fully Automatic Method for Rapidly Mapping Impacted Area by Natural Disaster. IGARSS 2020: 6906-6909
2010 – 2019
- 2019
- [j10]Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose:
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. Concurr. Comput. Pract. Exp. 31(20) (2019) - [c15]Tao Liu, Hsiuhan Lexie Yang, Dalton D. Lunga:
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis. SIGSPATIAL/GIS 2019: 420-423 - [c14]Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga:
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS 2019: 4955-4958 - [i4]Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. CoRR abs/1908.04383 (2019) - 2018
- [j9]Dalton D. Lunga, Hsiuhan Lexie Yang, Andrew Reith, Jeanette E. Weaver, Jiangye Yuan, Budhendra L. Bhaduri:
Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 962-977 (2018) - [j8]Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra Bhaduri:
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2600-2614 (2018) - [c13]Benjamin Swan, Melanie Laverdiere, Hsiuhan Lexie Yang:
How Good is Good Enough?: Quantifying the Effects of Training Set Quality. GeoAI@SIGSPATIAL 2018: 47-51 - [i3]Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra L. Bhaduri:
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States. CoRR abs/1805.08946 (2018) - 2017
- [j7]Ayman Habib, Weifeng Xiong, Fangning He, Hsiuhan Lexie Yang, Melba M. Crawford:
Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 262-276 (2017) - [c12]Dalton D. Lunga, Hsiu-Han Lexie Yang, Jiangye Yuan, Budhendra L. Bhaduri:
Hashed binary search sampling for convolutional network training with large overhead image patches. IGARSS 2017: 767-770 - [c11]Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan:
Toward country scale building detection with convolutional neural network using aerial images. IGARSS 2017: 870-873 - [c10]Dalton D. Lunga, Dilip R. Patlolla, Hsiuhan Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting convolutional representations for multiscale human settlement detection: Preliminary results. IGARSS 2017: 3779-3782 - [i2]Dalton D. Lunga, Dilip R. Patlolla, Hsiu-Han Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting Convolutional Representations for Multiscale Human Settlement Detection. CoRR abs/1707.05683 (2017) - [i1]Dalton D. Lunga, Hsiu-Han Lexie Yang, Budhendra L. Bhaduri:
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches. CoRR abs/1707.05685 (2017) - 2016
- [j6]Zhou Zhang, Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 13(7): 1007-1011 (2016) - [j5]Hsiuhan Lexie Yang, Melba M. Crawford:
Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 543-555 (2016) - [j4]Hsiuhan Lexie Yang, Melba M. Crawford:
Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(1): 51-64 (2016) - [j3]Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(4): 1925-1939 (2016) - [c9]Jiangye Yuan, Hsiu-Han Lexie Yang, Olufemi A. Omitaomu, Budhendra L. Bhaduri:
Large-scale solar panel mapping from aerial images using deep convolutional networks. IEEE BigData 2016: 2703-2708 - 2015
- [j2]Yuhang Zhang, Hsiuhan Lexie Yang, Saurabh Prasad, Edoardo Pasolli, Jinha Jung, Melba M. Crawford:
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(2): 845-858 (2015) - 2014
- [c8]Edoardo Pasolli, Hsiuhan Lexie Yang, Melba M. Crawford:
Combining active and metric learning for hyperspectral image classification. WHISPERS 2014: 1-4 - [c7]Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford:
Spatial context driven manifold learning for hyperspectral image classification. WHISPERS 2014: 1-4 - 2013
- [j1]Melba M. Crawford, Devis Tuia, Hsiuhan Lexie Yang:
Active Learning: Any Value for Classification of Remotely Sensed Data? Proc. IEEE 101(3): 593-608 (2013) - [c6]Hsiuhan Lexie Yang, Melba M. Crawford:
Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification. IGARSS 2013: 1047-1050 - [c5]Hsiuhan Lexie Yang, Yuhang Zhang, Saurabh Prasad, Melba M. Crawford:
Multiple kernel active learning for robust geo-spatial image analysis. IGARSS 2013: 1218-1221 - 2012
- [c4]Hsiuhan Lexie Yang, Melba M. Crawford:
Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds. IGARSS 2012: 4174-4177 - 2011
- [c3]Hsiuhan Lexie Yang, Melba M. Crawford:
Manifold alignment for multitemporal hyperspectral image classification. IGARSS 2011: 4332-4335 - [c2]Hsiuhan Lexie Yang, Melba M. Crawford:
Manifold alignment for classification of multitemporal hyperspectral data. WHISPERS 2011: 1-4
2000 – 2009
- 2007
- [c1]Pai-Hui Hsu, Hsiu-Han Lexie Yang:
Hyperspectral image classification using wavelet networks. IGARSS 2007: 1767-1770
Coauthor Index
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last updated on 2024-12-03 20:28 CET by the dblp team
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