Target detection of mine-related flooded areas using AISA-eagle data

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

Target detection of mine-related flooded areas using AISA-eagle data. / Millán, Virginia E.García; Pakzad, Kian; Faude, Ulrike; Teuwsen, Sebastian; Müterthies, Andreas.

2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. Vol. 2014-June IEEE Computer Society, 2017. 8077548.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Millán, VEG, Pakzad, K, Faude, U, Teuwsen, S & Müterthies, A 2017, Target detection of mine-related flooded areas using AISA-eagle data. in 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. vol. 2014-June, 8077548, IEEE Computer Society, 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014, Lausanne, Switzerland, 2014/06/24. https://doi.org/10.1109/WHISPERS.2014.8077548

APA

Millán, V. E. G., Pakzad, K., Faude, U., Teuwsen, S., & Müterthies, A. (2017). Target detection of mine-related flooded areas using AISA-eagle data. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 (Vol. 2014-June). [8077548] IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2014.8077548

CBE

Millán VEG, Pakzad K, Faude U, Teuwsen S, Müterthies A. 2017. Target detection of mine-related flooded areas using AISA-eagle data. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. IEEE Computer Society. Article 8077548. https://doi.org/10.1109/WHISPERS.2014.8077548

MLA

Millán, Virginia E.García et al. "Target detection of mine-related flooded areas using AISA-eagle data". 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. IEEE Computer Society. 2017. https://doi.org/10.1109/WHISPERS.2014.8077548

Vancouver

Millán VEG, Pakzad K, Faude U, Teuwsen S, Müterthies A. Target detection of mine-related flooded areas using AISA-eagle data. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. Vol. 2014-June. IEEE Computer Society. 2017. 8077548 https://doi.org/10.1109/WHISPERS.2014.8077548

Author

Millán, Virginia E.García ; Pakzad, Kian ; Faude, Ulrike ; Teuwsen, Sebastian ; Müterthies, Andreas. / Target detection of mine-related flooded areas using AISA-eagle data. 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014. Vol. 2014-June IEEE Computer Society, 2017.

RIS

TY - GEN

T1 - Target detection of mine-related flooded areas using AISA-eagle data

AU - Millán, Virginia E.García

AU - Pakzad, Kian

AU - Faude, Ulrike

AU - Teuwsen, Sebastian

AU - Müterthies, Andreas

PY - 2017/10/19

Y1 - 2017/10/19

N2 - The present research is developed in the frame of the R&D project GMES4Mining, which aims to support particular tasks within the different phases of a mining life cycle [1]. During the exploitation and after the closure of the mine, environmental and civil impacts may happen, due to changes in the compacting properties of the soil related to mining activities. In this paper, we focus in the emergence of flooded areas, due to a subsidence of the ground surface. Above-ground vegetation is affected by changes in groundwater's dynamics; at first trees suffer defoliation and senescence, and after some time, they die. Several methods have been tested, to detect changes in spectral response of forests in a mine area, which are related to imminent flooding. ENVI's Target Detection Tool has been used to estimate the reflectance proportion at pixel level of four targets of interest in AISA-Eagle's data, which are present in flooded areas: water, dead trunks, senescent trees and green stands within water. Five target detection's methods have been tested: Constrained Energy Minimization (CEM), Adaptative Coherence Estimator (ACE), Spectral Angle Mapper (SAM), Target-Constrained Interference-Minimized Filter (TCIMF) and Mixture Tuned Matched Filtering (MTMF).

AB - The present research is developed in the frame of the R&D project GMES4Mining, which aims to support particular tasks within the different phases of a mining life cycle [1]. During the exploitation and after the closure of the mine, environmental and civil impacts may happen, due to changes in the compacting properties of the soil related to mining activities. In this paper, we focus in the emergence of flooded areas, due to a subsidence of the ground surface. Above-ground vegetation is affected by changes in groundwater's dynamics; at first trees suffer defoliation and senescence, and after some time, they die. Several methods have been tested, to detect changes in spectral response of forests in a mine area, which are related to imminent flooding. ENVI's Target Detection Tool has been used to estimate the reflectance proportion at pixel level of four targets of interest in AISA-Eagle's data, which are present in flooded areas: water, dead trunks, senescent trees and green stands within water. Five target detection's methods have been tested: Constrained Energy Minimization (CEM), Adaptative Coherence Estimator (ACE), Spectral Angle Mapper (SAM), Target-Constrained Interference-Minimized Filter (TCIMF) and Mixture Tuned Matched Filtering (MTMF).

KW - Flooding

KW - Hyperspectral

KW - Mining

KW - Risk Assessment

KW - Vegetation

U2 - 10.1109/WHISPERS.2014.8077548

DO - 10.1109/WHISPERS.2014.8077548

M3 - Paper in conference proceeding

AN - SCOPUS:85038595671

VL - 2014-June

BT - 2014 6th Workshop on Hyperspectral Image and Signal Processing

PB - IEEE Computer Society

T2 - 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014

Y2 - 24 June 2014 through 27 June 2014

ER -