Textural–Spectral Feature-Based Species Classification of Mangroves in Mai Po Nature Reserve from Worldview-3 Imagery T Wang, H Zhang, H Lin, C Fang Remote sensing 8 (24), 2015 | 135 | 2015 |
A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target Detection T Wang, B Du, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 87 | 2013 |
Potential of combining optical and dual polarimetric SAR data for improving mangrove species discrimination using rotation forest H Zhang, T Wang, M Liu, M Jia, H Lin, LM Chu, AT Devlin Remote Sensing 10 (3), 467, 2018 | 71 | 2018 |
A manifold learning approach to urban land cover classification with optical and radar data H Zhang, J Li, T Wang, H Lin, Z Zheng, Y Li, Y Lu Landscape and Urban Planning 172, 11-24, 2018 | 49 | 2018 |
Impervious surface estimation from optical and polarimetric SAR data using small-patched deep convolutional networks: A comparative study H Zhang, L Wan, T Wang, Y Lin, H Lin, Z Zheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 36 | 2019 |
An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral Imagery T Wang, B Du, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 31 | 2014 |
A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection T Wang, H Zhang, H Lin, X Jia Ieee Access 6, 3408-3424, 2017 | 28 | 2017 |
Improving impervious surface extraction with shadow-based sparse representation from optical, SAR, and LiDAR data Y Lin, H Zhang, G Li, T Wang, L Wan, H Lin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 23 | 2019 |
Mangrove species discrimination from very high resolution imagery using gaussian markov random field model L Wan, H Zhang, T Wang, G Li, H Lin Wetlands 38, 861-874, 2018 | 23 | 2018 |
Using pan-sharpened high resolution satellite data to improve impervious surfaces estimation R Xu, H Zhang, T Wang, H Lin International journal of applied earth observation and geoinformation 57 …, 2017 | 14 | 2017 |
A background self-learning framework for unstructured target detectors T Wang, B Du, L Zhang IEEE Geoscience and Remote Sensing Letters 10 (6), 1577-1581, 2013 | 14 | 2013 |
Quantifying short-term urban land cover change with time series landsat data: A comparison of four different cities H Zhang, T Wang, Y Zhang, Y Dai, J Jia, C Yu, G Li, Y Lin, H Lin, Y Cao Sensors 18 (12), 4319, 2018 | 13 | 2018 |
A hybrid subpixel mapping framework for hyperspectral images using collaborative representation Y Zhang, X Xue, T Wang, M He IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 7 | 2017 |
High-level impervious surfaces classification in urban environments from hyperspectral imagery T Wang, H Zhang, H Lin 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016 | 2 | 2016 |
A local subspace based nonlinear target detector T Wang, B Du, L Zhang 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2012 | 2 | 2012 |
A Local Information-based Kernelized OSP Method for Target Detection T Wang, B Du, L Zhang Geomatics and Information Science of Wuhan University 38 (2), 200-203,239, 2013 | 1 | 2013 |
Subpixel mapping of hyperspectral images with hybrid endmember library and optimized abundances Y Zhang, T Wang, R He, M He 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | | 2017 |
A novel subpixel mapping approach based on spectral unmixing for hyperspectral images T Wang, Y Zhang, S Mei 2017 International Symposium on Intelligent Signal Processing and …, 2017 | | 2017 |
Using coupled nonnegative matrix factorization (CNMF) un-mixing for high spectral and spatial resolution data fusion to estimate urban impervious surface and urban ecological … T Wang, H Zhang, H Lin The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | | 2017 |
Mangrove species discrimination from very high resolution imagery using Gaussian Markov Random Field model Wetlands, 2016 | | 2016 |