S
Sidharta Gautama
Researcher at Ghent University
Publications - 140
Citations - 2040
Sidharta Gautama is an academic researcher from Ghent University. The author has contributed to research in topics: Graph (abstract data type) & Hyperspectral imaging. The author has an hindex of 20, co-authored 135 publications receiving 1621 citations.
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Journal ArticleDOI
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
Christian Debes,Andreas Merentitis,Roel Heremans,Jurgen Hahn,Nikolaos Frangiadakis,Tim Van Kasteren,Wenzhi Liao,Rik Bellens,Aleksandra Pizurica,Sidharta Gautama,Wilfried Philips,Saurabh Prasad,Qian Du,Fabio Pacifici +13 more
TL;DR: This paper highlights the two awarded research contributions, which investigated different approaches for the fusion of hyperspectral and LiDAR data, including a combined unsupervised and supervised classification scheme, and a graph-based method for the Fusion of spectral, spatial, and elevation information.
Journal ArticleDOI
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
Wenzhi Liao,Xin Huang,Frieke Van Coillie,Sidharta Gautama,Aleksandra Pizurica,Wilfried Philips,Hui Liu,Tingting Zhu,Michal Shimoni,Gabriele Moser,Devis Tuia +10 more
TL;DR: The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color data, resulting in the results obtained by the winners of both tracks.
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Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features
TL;DR: In this letter, a generalized graph-based fusion method to couple dimension reduction and feature fusion of the spectral information (of the original HSI and MPs) and MPs (built on both HS and LiDAR data) is proposed, where the edges of the fusion graph are weighted by the distance between the stacked feature points.
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Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles
Rik Bellens,Sidharta Gautama,L. Martinez-Fonte,Wilfried Philips,Jonathan Cheung-Wai Chan,Frank Canters +5 more
TL;DR: This paper introduces two improvements on the use of morphological profiles by using linear SEs and shows that the addition of the line-based MP gives a substantial improvement of the classification result.
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A review of urban air pollution monitoring and exposure assessment methods
Xingzhe Xie,Ivana Semanjski,Sidharta Gautama,Evangelia Tsiligianni,Nikolaos Deligiannis,Raj Thilak Rajan,Frank Pasveer,Wilfried Philips +7 more
TL;DR: A comprehensive review of the recent development in air pollution monitoring, including both the pollution data acquisition and the pollution assessment methods, and presents the efforts of applying these models on the mobile sensing data and discusses the future research of fusing the stationary and mobile sensingData.