Expertises
Earth & Environmental Sciences
# Aboveground Biomass
# Scanner
# Sinkhole
# Time Series
Engineering & Materials Science
# Long Short-Term Memory
# Polarization
# Synthetic Aperture Radar
# Time Series
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publicaties
Recent
Shafai, S., Kumar, S.
, Aghababaei, H.
, & Kulshrestha, A. (2022).
Evaluating the effect of POA compensation on polinsar coherence for L-and-S band airborne SAR data. In
2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 356-359). IEEE.
https://doi.org/10.1109/ingarss51564.2021.9792001
Kulshrestha, A.
, Chang, L.
, & Stein, A. (2022).
Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series.
IEEE Journal of selected topics in applied earth observations and remote sensing,
15, 4559-4570.
https://doi.org/10.1109/JSTARS.2022.3180994
Kulshrestha, A.
, Chang, L.
, & Stein, A. (2022).
Supervised LSTM modelling for classification of sinkhole-related anomalous InSAR deformation time series. 1-2. Abstract from EGU General Assembly 2022, Vienna, Austria.
https://meetingorganizer.copernicus.org/EGU22/EGU22-4618.html
Kulshrestha, A.
, Chang, L.
, & Stein, A. (2021).
Sinkhole scanner: A new method to detect sinkhole-related spatio-temporal patterns in insar deformation time series.
Remote sensing,
13(15), 1-20. [2906].
https://doi.org/10.3390/rs13152906
Mukhopadhyay, R., Kumar, S.
, Aghababaei, H.
, & Kulshrestha, A. (2021).
Estimation of aboveground biomass from PolSAR and PolInSAR using regression-based modelling techniques.
Geocarto international.
https://doi.org/10.1080/10106049.2021.1878289
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(gebouwnr. 75), kamer 2-038
Hengelosestraat 99
7514AE Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC
2-038
Postbus 217
7500 AE Enschede