@inproceedings{1b05c5eb730e4db085903258106f31c4,
title = "Using remote sensing imagery to monitoring sea surface pollution cause by abandoned gold-copper mine",
abstract = "The Chinkuashih Benshen mine was the largest gold-copper mine in Taiwan before the owner had abandoned the mine in 1987. However, even the mine had been closed, the mineral still interacts with rain and underground water and flowed into the sea. The polluted sea surface had appeared yellow, green and even white color, and the pollutants had carried by the coast current. In this study, we used the optical satellite images to monitoring the sea surface. Several image processing algorithms are employed especial the subpixel technique and linear mixture model to estimate the concentration of pollutants. The change detection approach is also applied to track them. We also conduct the chemical analysis of the polluted water to provide the ground truth validation. By the correlation analysis between the satellite observation and the ground truth chemical analysis, an effective approach to monitoring water pollution could be established.",
keywords = "Change detection, Linear mixture model, Pollution, Subpixel classification",
author = "Kao, {H. M.} and H. Ren and Lee, {Y. T.}",
year = "2010",
doi = "10.1117/12.860085",
language = "???core.languages.en_GB???",
isbn = "9780819483065",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Satellite Data Compression, Communications, and Processing VI",
note = "Satellite Data Compression, Communications, and Processing VI ; Conference date: 03-08-2010 Through 05-08-2010",
}