Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests

Kangning Cui; Seda Camalan; Ruoning Li; Victor Paul Pauca; Sarra Alqahtani; Robert Plemmons; Miles Silman; Evan Nylen Dethier; David Lutz; Raymond Chan

doi:10.1109/WHISPERS56178.2022.9955140

Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests

Kangning Cui, Seda Camalan, Ruoning Li, Victor Paul Pauca, Sarra Alqahtani, Robert Plemmons, Miles Silman, Evan Nylen Dethier, David Lutz, Raymond Chan^*

^*Corresponding author for this work

Department of Mathematics

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

Abstract

Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries. The Sentinel-2 satellites collect multispectral images that can be used for the purpose of detecting changes in water extent and quality which indicates the locations of mining sites. This work focuses on the recognition of ASGM activities in Peruvian Amazon rainforests. We tested several semi-supervised classifiers based on Support Vector Machines (SVMs) to detect the changes of water bodies from 2019 to 2021 in the Madre de Dios region, which is one of the global hotspots of ASGM activities. Experiments show that SVM-based models can achieve reasonable performance for both RGB (using Cohen's κ 0.49) and 6-channel images (using Cohen's κ 0.71) with very limited annotations. The efficacy of incorporating Lab color space for change detection is analyzed as well.

Original language	English
Title of host publication	2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781665470698
ISBN (Print)	978-1-6654-7070-4
DOIs	https://doi.org/10.1109/WHISPERS56178.2022.9955140
Publication status	Published - 2022
Event	12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022) - San Pietro in Vincoli, Rome, Italy Duration: 13 Sept 2022 → 16 Sept 2022 https://www.ieee-whispers.com/

Publication series

Name	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
ISSN (Print)	2158-6268
ISSN (Electronic)	2158-6276

Conference

Conference	12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022)
Place	Italy
City	Rome
Period	13/09/22 → 16/09/22
Internet address	https://www.ieee-whispers.com/

Funding

This work was supported partially by HKRGC Grants No. CUHK14301718, CityU11301120, C1013-21GF, CityU Grant 9380101, NASA’s Land Cover Land Use Change Program award 80NSSC21K0309 and USAID Cooperative Agreement 72052721CA00005.

Research Keywords

artisanal gold mining
change detection
RGB & multispectral images
semi-manual labeling
semi-supervised machine learning.

RGC Funding Information

RGC-funded

Access Output

10.1109/WHISPERS56178.2022.9955140

Other Access Options

Check CityUHK Library

Permanent Link

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Cite this

Cui, K., Camalan, S., Li, R., Pauca, V. P., Alqahtani, S., Plemmons, R., Silman, M., Dethier, E. N., Lutz, D., & Chan, R. (2022). Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests. In 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing). IEEE. https://doi.org/10.1109/WHISPERS56178.2022.9955140

Cui, Kangning ; Camalan, Seda ; Li, Ruoning et al. / Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2022. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing).

@inproceedings{d0de7bb0bc0e4a4f8a3862f36a7d3bc2,

title = "Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests",

abstract = "Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries. The Sentinel-2 satellites collect multispectral images that can be used for the purpose of detecting changes in water extent and quality which indicates the locations of mining sites. This work focuses on the recognition of ASGM activities in Peruvian Amazon rainforests. We tested several semi-supervised classifiers based on Support Vector Machines (SVMs) to detect the changes of water bodies from 2019 to 2021 in the Madre de Dios region, which is one of the global hotspots of ASGM activities. Experiments show that SVM-based models can achieve reasonable performance for both RGB (using Cohen's κ 0.49) and 6-channel images (using Cohen's κ 0.71) with very limited annotations. The efficacy of incorporating Lab color space for change detection is analyzed as well.",

keywords = "artisanal gold mining, change detection, RGB & multispectral images, semi-manual labeling, semi-supervised machine learning.",

author = "Kangning Cui and Seda Camalan and Ruoning Li and Pauca, {Victor Paul} and Sarra Alqahtani and Robert Plemmons and Miles Silman and Dethier, {Evan Nylen} and David Lutz and Raymond Chan",

year = "2022",

doi = "10.1109/WHISPERS56178.2022.9955140",

language = "English",

isbn = "978-1-6654-7070-4",

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publisher = "IEEE",

booktitle = "2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)",

address = "United States",

note = "12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022) ; Conference date: 13-09-2022 Through 16-09-2022",

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Cui, K, Camalan, S, Li, R, Pauca, VP, Alqahtani, S, Plemmons, R, Silman, M, Dethier, EN, Lutz, D & Chan, R 2022, Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests. in 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, IEEE, 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022), Rome, Italy, 13/09/22. https://doi.org/10.1109/WHISPERS56178.2022.9955140

Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests. / Cui, Kangning; Camalan, Seda; Li, Ruoning et al.
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2022. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests

AU - Cui, Kangning

AU - Camalan, Seda

AU - Li, Ruoning

AU - Pauca, Victor Paul

AU - Alqahtani, Sarra

AU - Plemmons, Robert

AU - Silman, Miles

AU - Dethier, Evan Nylen

AU - Lutz, David

AU - Chan, Raymond

PY - 2022

Y1 - 2022

N2 - Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries. The Sentinel-2 satellites collect multispectral images that can be used for the purpose of detecting changes in water extent and quality which indicates the locations of mining sites. This work focuses on the recognition of ASGM activities in Peruvian Amazon rainforests. We tested several semi-supervised classifiers based on Support Vector Machines (SVMs) to detect the changes of water bodies from 2019 to 2021 in the Madre de Dios region, which is one of the global hotspots of ASGM activities. Experiments show that SVM-based models can achieve reasonable performance for both RGB (using Cohen's κ 0.49) and 6-channel images (using Cohen's κ 0.71) with very limited annotations. The efficacy of incorporating Lab color space for change detection is analyzed as well.

AB - Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries. The Sentinel-2 satellites collect multispectral images that can be used for the purpose of detecting changes in water extent and quality which indicates the locations of mining sites. This work focuses on the recognition of ASGM activities in Peruvian Amazon rainforests. We tested several semi-supervised classifiers based on Support Vector Machines (SVMs) to detect the changes of water bodies from 2019 to 2021 in the Madre de Dios region, which is one of the global hotspots of ASGM activities. Experiments show that SVM-based models can achieve reasonable performance for both RGB (using Cohen's κ 0.49) and 6-channel images (using Cohen's κ 0.71) with very limited annotations. The efficacy of incorporating Lab color space for change detection is analyzed as well.

KW - artisanal gold mining

KW - change detection

KW - RGB & multispectral images

KW - semi-manual labeling

KW - semi-supervised machine learning.

UR - http://www.scopus.com/inward/record.url?scp=85143149165&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85143149165&origin=recordpage

U2 - 10.1109/WHISPERS56178.2022.9955140

DO - 10.1109/WHISPERS56178.2022.9955140

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-7070-4

T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

BT - 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

PB - IEEE

T2 - 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS 2022)

Y2 - 13 September 2022 through 16 September 2022

ER -

Cui K, Camalan S, Li R, Pauca VP, Alqahtani S, Plemmons R et al. Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests. In 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE. 2022. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing). Epub 2022 Nov 22. doi: 10.1109/WHISPERS56178.2022.9955140

Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

GRF: Novel Computational Methods for Three-dimensional Point Source Localization Based on Point Spread Function Analytics

Cite this

Semi-Supervised Change Detection of Small Water Bodies Using Rgb and Multispectral Images in Peruvian Rainforests

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Novel Computational Methods for Three-dimensional Point Source Localization Based on Point Spread Function Analytics

Cite this