Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis Y Liu, L Bian, Y Meng, H Wang, S Zhang, Y Yang, X Shao, B Wang ISPRS Journal of Photogrammetry and Remote Sensing 68, 144-156, 2012 | 198 | 2012 |
Cascaded attention DenseUNet (CADUNet) for road extraction from very-high-resolution images J Li, Y Liu, Y Zhang, Y Zhang ISPRS International Journal of Geo-Information 10 (5), 329, 2021 | 55 | 2021 |
Urban growth sustainability of Islamabad, Pakistan, over the last 3 decades: a perspective based on object-based backdating change detection Y Liu, Y Jiang GeoJournal 86, 2035-2055, 2021 | 45 | 2021 |
Recurrent Shadow Attention Model (RSAM) for shadow removal in high-resolution urban land-cover mapping Y Zhang, G Chen, J Vukomanovic, KK Singh, Y Liu, S Holden, ... Remote Sensing of Environment 247, 111945, 2020 | 35 | 2020 |
Modeling changes trend of time series of land surface temperature (LST) using satellite remote sensing productions (case study: Sistan plain in east of Iran) F Firoozi, P Mahmoudi, SMA Jahanshahi, T Tavousi, Y Liu, Z Liang Arabian Journal of Geosciences 13, 1-14, 2020 | 19 | 2020 |
Inversion of the leaf area index of rice fields using vegetation isoline patterns considering the fraction of vegetation cover Y Sun, L Lu, Y Liu International Journal of Remote Sensing 42 (5), 1688-1712, 2021 | 5 | 2021 |
A Modified Geometrical Optical Model of Row Crops Considering Multiple Scattering Frame X Ma, Y Liu Remote Sensing 12 (21), 3600, 2020 | 1 | 2020 |
Segmentation optimization via recognition of the PSE-NSR-ED2 patterns along with the scale parameter in object-based image analysis Y Liu, YD Zhang, Z Huang, MM Wang, D Yang, HM Ma, YX Zhang, YF Li, ... 6th International Conference on Geographic Object-Based Image Analysis …, 2016 | 1 | 2016 |
High-resolution feature pyramid attention network for high spatial resolution images land- cover classification in arid oasis zones XG (Pengdi Chen), Yong Liu, Yi Liu, Yuanrui Ren, Baoan Zhang International Journal of Remote Sensing 45 (11), 3664-3688, 2024 | | 2024 |