CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images

Chen, Bohan; Miller, Kevin; Bertozzi, Andrea L.; Schwenk, Jon

doi:10.1109/JSTARS.2024.3493073

Title: CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images

Journal Article · 01 January 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI: https://doi.org/10.1109/JSTARS.2024.3493073 · OSTI ID:2479011

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Department of Mathematics, University of California, Los Angeles, CA, USA
Oden Institute for Computational Engineering and Sciences, University of Texas, Austin, TX, USA
Los Alamos National Laboratory, NM, USA

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0025589; 89233218CNA000001

OSTI ID:: 2479011

Journal Information:: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Name: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 18; ISSN 1939-1404

Publisher:: Institute of Electrical and Electronics EngineersCopyright Statement

Country of Publication:: United States

Language:: English

References (50)

High spatiotemporal resolution of river planform dynamics from Landsat: The RivMAP toolbox and results from the Ucayali River: Annual Planform Morphodynamics, Ucayali Schwenk, Jon; Khandelwal, Ankush; Fratkin, Mulu Earth and Space Science, Vol. 4, Issue 2 https://doi.org/10.1002/2016EA000196	journal	February 2017
Meander cutoffs nonlocally accelerate upstream and downstream migration and channel widening Schwenk, Jon; Foufoula‐Georgiou, Efi Geophysical Research Letters, Vol. 43, Issue 24 https://doi.org/10.1002/2016GL071670	journal	December 2016
Optimal approximations by piecewise smooth functions and associated variational problems Mumford, David; Shah, Jayant Communications on Pure and Applied Mathematics, Vol. 42, Issue 5 https://doi.org/10.1002/cpa.3160420503	journal	July 1989
A simple global river bankfull width and depth database: Data and Analysis Note Andreadis, Konstantinos M.; Schumann, Guy J. -P.; Pavelsky, Tamlin Water Resources Research, Vol. 49, Issue 10 https://doi.org/10.1002/wrcr.20440	journal	October 2013
Active Learning Settles, Burr Synthesis Lectures on Artificial Intelligence and Machine Learning https://doi.org/10.1007/978-3-031-01560-1	book	August 2012
Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme Hu, Huiyi; Sunu, Justin; Bertozzi, Andrea L. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-319-14612-6_16	book	January 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Ronneberger, Olaf; Fischer, Philipp; Brox, Thomas Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III https://doi.org/10.1007/978-3-319-24574-4_28	book	November 2015
Snakes: Active contour models Kass, Michael; Witkin, Andrew; Terzopoulos, Demetri International Journal of Computer Vision, Vol. 1, Issue 4 https://doi.org/10.1007/BF00133570	journal	January 1988
Support-vector networks Cortes, Corinna; Vapnik, Vladimir Machine Learning, Vol. 20, Issue 3 https://doi.org/10.1007/BF00994018	journal	September 1995
Properly-Weighted Graph Laplacian for Semi-supervised Learning Calder, Jeff; Slepčev, Dejan Applied Mathematics & Optimization, Vol. 82, Issue 3 https://doi.org/10.1007/s00245-019-09637-3	journal	December 2019
Stochastic Block Models are a Discrete Surface Tension Boyd, Zachary M.; Porter, Mason A.; Bertozzi, Andrea L. Journal of Nonlinear Science, Vol. 30, Issue 5 https://doi.org/10.1007/s00332-019-09541-8	journal	April 2019
A tutorial on spectral clustering von Luxburg, Ulrike Statistics and Computing, Vol. 17, Issue 4 https://doi.org/10.1007/s11222-007-9033-z	journal	August 2007
Surface water dynamics analysis based on sentinel imagery and Google Earth Engine Platform: a case study of Jayakwadi dam Kandekar, Vidya. U.; Pande, Chaitanya. B.; Rajesh, Jayaraman Sustainable Water Resources Management, Vol. 7, Issue 3 https://doi.org/10.1007/s40899-021-00527-7	journal	May 2021
Batch Active Learning for Multispectral and Hyperspectral Image Segmentation Using Similarity Graphs Chen, Bohan; Miller, Kevin; Bertozzi, Andrea L. Communications on Applied Mathematics and Computation, Vol. 6, Issue 2 https://doi.org/10.1007/s42967-023-00284-8	journal	July 2023
Model Change Active Learning in Graph-Based Semi-supervised Learning Miller, Kevin S.; Bertozzi, Andrea L. Communications on Applied Mathematics and Computation, Vol. 6, Issue 2 https://doi.org/10.1007/s42967-023-00328-z	journal	February 2024
Analysis and algorithms for ℓ-based semi-supervised learning on graphs Flores, Mauricio; Calder, Jeff; Lerman, Gilad Applied and Computational Harmonic Analysis, Vol. 60 https://doi.org/10.1016/j.acha.2022.01.004	journal	September 2022
Assessing channel changes of the Ganges-Padma River system in Bangladesh using Landsat and hydrological data Dewan, Ashraf; Corner, Robert; Saleem, Ashty Geomorphology, Vol. 276 https://doi.org/10.1016/j.geomorph.2016.10.017	journal	January 2017
Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information Bjerklie, David M. Journal of Hydrology, Vol. 341, Issue 3-4 https://doi.org/10.1016/j.jhydrol.2007.04.011	journal	August 2007
Estimating seasonal water budgets in global lakes by using multi-source remote sensing measurements Chen, Tan; Song, Chunqiao; Ke, Linghong Journal of Hydrology, Vol. 593 https://doi.org/10.1016/j.jhydrol.2020.125781	journal	February 2021
Remote sensing-based analysis of the planform changes in the Upper Amazon River over the period 1986–2006 Rozo, Max G.; Nogueira, Afonso C. R.; Castro, Carlomagno Soto Journal of South American Earth Sciences, Vol. 51 https://doi.org/10.1016/j.jsames.2013.12.004	journal	April 2014
A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery Rowland, Joel C.; Shelef, Eitan; Pope, Paul A. Remote Sensing of Environment, Vol. 184 https://doi.org/10.1016/j.rse.2016.07.005	journal	October 2016
Google Earth Engine: Planetary-scale geospatial analysis for everyone Gorelick, Noel; Hancher, Matt; Dixon, Mike Remote Sensing of Environment, Vol. 202 https://doi.org/10.1016/j.rse.2017.06.031	journal	December 2017
Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis Lin, Peirong; Pan, Ming; Allen, George H. Geophysical Research Letters, Vol. 47, Issue 7 https://doi.org/10.1029/2019GL086405	journal	April 2020
High-resolution mapping of global surface water and its long-term changes Pekel, Jean-François; Cottam, Andrew; Gorelick, Noel Nature, Vol. 540, Issue 7633 https://doi.org/10.1038/nature20584	journal	December 2016
Earth's surface water change over the past 30 years Donchyts, Gennadii; Baart, Fedor; Winsemius, Hessel Nature Climate Change, Vol. 6, Issue 9 https://doi.org/10.1038/nclimate3111	journal	August 2016
Human alteration of global surface water storage variability Cooley, Sarah W.; Ryan, Jonathan C.; Smith, Laurence C. Nature, Vol. 591, Issue 7848 https://doi.org/10.1038/s41586-021-03262-3	journal	March 2021
The game theoreticp-Laplacian and semi-supervised learning with few labels Calder, Jeff Nonlinearity, Vol. 32, Issue 1 https://doi.org/10.1088/1361-6544/aae949	journal	December 2018
Active contours without edges Chan, T. F.; Vese, L. A. IEEE Transactions on Image Processing, Vol. 10, Issue 2 https://doi.org/10.1109/83.902291	journal	January 2001
A Non-Local Algorithm for Image Denoising Buades, A.; Coll, B.; Morel, J. -M. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) https://doi.org/10.1109/CVPR.2005.38	conference	January 2005
Random decision forests Proceedings of 3rd International Conference on Document Analysis and Recognition https://doi.org/10.1109/ICDAR.1995.598994	conference	January 1995
Graph-Based Active Learning for Surface Water and Sediment Detection in Multispectral Images Chen, Bohan; Miller, Kevin; Bertozzi, Andrea L. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS52108.2023.10282009	conference	July 2023
Wet-GC: A Novel Multimodel Graph Convolutional Approach for Wetland Classification Using Sentinel-1 and 2 Imagery With Limited Training Samples Jafarzadeh, Hamid; Mahdianpari, Masoud; Gill, Eric W. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15 https://doi.org/10.1109/JSTARS.2022.3177579	journal	January 2022
Seeing Through the Clouds With DeepWaterMap Isikdogan, Leo F.; Bovik, Alan; Passalacqua, Paola IEEE Geoscience and Remote Sensing Letters, Vol. 17, Issue 10 https://doi.org/10.1109/LGRS.2019.2953261	journal	October 2020
Estimation of Chlorophyll a Concentration Using NIR/Red Bands of MERIS and Classification Procedure in Inland Turbid Water Li, Yunmei; Wang, Qiao; Wu, Chuanqing IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, Issue 3 https://doi.org/10.1109/TGRS.2011.2163199	journal	March 2012
A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images Iyer, Geoffrey; Chanussot, Jocelyn; Bertozzi, Andrea L. IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Issue 5 https://doi.org/10.1109/TGRS.2020.2971395	journal	May 2021
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization Qin, Jing; Lee, Harlin; Chi, Jocelyn T. IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Issue 4 https://doi.org/10.1109/TGRS.2020.3020810	journal	April 2021
Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing Chen, Bohan; Lou, Yifei; Bertozzi, Andrea L. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61 https://doi.org/10.1109/TGRS.2023.3313933	journal	January 2023
Global Image Denoising Talebi, Hossein; Milanfar, Peyman IEEE Transactions on Image Processing, Vol. 23, Issue 2 https://doi.org/10.1109/TIP.2013.2293425	journal	February 2014
Deep Graph-Convolutional Image Denoising Valsesia, Diego; Fracastoro, Giulia; Magli, Enrico IEEE Transactions on Image Processing, Vol. 29 https://doi.org/10.1109/TIP.2020.3013166	journal	January 2020
Graph-based active learning for semi-supervised classification of SAR data Miller, Kevin; Mauro, Jack; Setiadi, Jason Algorithms for Synthetic Aperture Radar Imagery XXIX https://doi.org/10.1117/12.2618847	conference	May 2022
Novel batch active learning approach and its application on the synthetic aperture radar datasets Chapman, James; Chen, Bohan; Tan, Zheng Algorithms for Synthetic Aperture Radar Imagery XXX https://doi.org/10.1117/12.2662393	conference	June 2023
Utilizing contrastive learning for graph-based active learning of SAR data Brown, Jason; O'Neill, Riley; Calder, Jeff Algorithms for Synthetic Aperture Radar Imagery XXX https://doi.org/10.1117/12.2663099	conference	June 2023
An MBO Scheme on Graphs for Classification and Image Processing Merkurjev, Ekaterina; Kostić, Tijana; Bertozzi, Andrea L. SIAM Journal on Imaging Sciences, Vol. 6, Issue 4 https://doi.org/10.1137/120886935	journal	January 2013
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data Bertozzi, Andrea L.; Luo, Xiyang; Stuart, Andrew M. SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, Issue 2 https://doi.org/10.1137/17M1134214	journal	January 2018
Simplified Energy Landscape for Modularity Using Total Variation Boyd, Zachary M.; Bae, Egil; Tai, Xue-Cheng SIAM Journal on Applied Mathematics, Vol. 78, Issue 5 https://doi.org/10.1137/17M1138972	journal	January 2018
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning Miller, Kevin; Calder, Jeff SIAM Journal on Mathematics of Data Science, Vol. 5, Issue 4 https://doi.org/10.1137/22M1531981	journal	December 2023
An optimal algorithm for approximate nearest neighbor searching fixed dimensions Arya, Sunil; Mount, David M.; Netanyahu, Nathan S. Journal of the ACM, Vol. 45, Issue 6 https://doi.org/10.1145/293347.293348	journal	November 1998
Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos Qiao, Yiling; Shi, Chang; Wang, Chenjian Electronic Imaging, Vol. 31, Issue 11 https://doi.org/10.2352/ISSN.2470-1173.2019.11.IPAS-264	journal	January 2019
Improved Automated Detection of Subpixel-Scale Inundation—Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests Jones, John Remote Sensing, Vol. 11, Issue 4 https://doi.org/10.3390/rs11040374	journal	February 2019
Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data Sharma, Ram; Tateishi, Ryutaro; Hara, Keitarou Remote Sensing, Vol. 7, Issue 10 https://doi.org/10.3390/rs71013807	journal	October 2015

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