Satellite Oil Spill Detection Using Artificial Neural Networks S Singha, TJ Bellerby, O Trieschmann IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 146 | 2013 |
The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf T Krumpen, F Birrien, F Kauker, T Rackow, L Von Albedyll, ... The Cryosphere Discussions 2020, 1-20, 2020 | 95 | 2020 |
Bacterial antagonists of Sunflower (Helianthus annuus L.) fungal pathogens P Hebbar, O Berge, T Heulin, SP Singh Plant and Soil 133, 131-140, 1991 | 86 | 1991 |
The MOSAiC Drift: Ice conditions from space and comparison with previous years T Krumpen, L Von Albedyll, HF Goessling, S Hendricks, B Juhls, ... The Cryosphere Discussions 2021, 1-35, 2021 | 72 | 2021 |
Investigation into different polarimetric features for sea ice classification using X-band synthetic aperture radar R Ressel, S Singha, S Lehner, A Rösel, G Spreen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 66 | 2016 |
Incidence angle normalization of Wide Swath SAR data for oceanographic applications K Topouzelis, S Singha, D Kitsiou Open Geosciences 8 (1), 450-464, 2016 | 62 | 2016 |
Arctic Sea ice characterization using spaceborne fully polarimetric L-, C-and X-band SAR with validation by airborne measurements S Singha, M Johansson, N Hughes, S Hvidegaard, H Skourup IEEE, 2018 | 60 | 2018 |
Detection and classification of oil spill and look-alike spots from SAR imagery using an artificial neural network S Singha, TJ Bellerby, O Trieschmann 2012 IEEE International Geoscience and Remote Sensing Symposium, 5630-5633, 2012 | 57 | 2012 |
Automatic Synthetic Aperture Radar based oil spill detection and performance estimation via a semi-automatic operational service benchmark S Singha, M Vespe, O Trieschmann Marine pollution bulletin 73 (1), 199-209, 2013 | 54 | 2013 |
Combined observations of A rctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements AM Johansson, JA King, AP Doulgeris, S Gerland, S Singha, G Spreen, ... Journal of Geophysical Research: Oceans 122 (1), 669-691, 2017 | 46 | 2017 |
Comparing near coincident space borne C and X band fully polarimetric sar data for arctic sea ice classification R Ressel, S Singha Remote Sensing 8 (3), 198, 2016 | 42 | 2016 |
A combination of traditional and polarimetric features for oil spill detection using TerraSAR-X S Singha, R Ressel, D Velotto, S Lehner IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 41 | 2016 |
Near real time monitoring of platform sourced pollution using TerraSAR-X over the North Sea S Singha, D Velotto, S Lehner Marine pollution bulletin 86 (1-2), 379-390, 2014 | 38 | 2014 |
Arctic sea ice characterization using RISAT-1 compact-pol SAR imagery and feature evaluation: A case study over Northeast Greenland S Singha, R Ressel IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 32 | 2017 |
Robustness of SAR sea ice type classification across incidence angles and seasons at L-band S Singha, AM Johansson, AP Doulgeris IEEE Transactions on Geoscience and Remote Sensing 59 (12), 9941-9952, 2020 | 23 | 2020 |
Heterosis and inbreeding depression to identify superior F1 hybrids in tomato (Solanum lycopersicum L.) for the yield and its contributing traits C Kumar, SP Singh Journal of Applied and Natural Science 8 (1), 290-296, 2016 | 20 | 2016 |
Carrot seed yield and quality as influenced by different order umbels under varying nitrogen, plant density and geometry S Satyaveer, BK Nehra, YS Malik, S Singh Crop Res 8, 543-548, 1994 | 20 | 1994 |
Oil spill detection using space-borne Sentinel-1 SAR imagery K Topouzelis, S Singha Oil Spill Science and Technology, 387-394, 2017 | 19 | 2017 |
A deep learning based oil spill detector using Sentinel-1 SAR imagery YJ Yang, S Singha, R Mayerle International Journal of Remote Sensing 43 (11), 4287-4314, 2022 | 15 | 2022 |
Shukla; S.,(1988). Photometric estimation of antiemitics with vanadium (V) reagent S Singh Indian J. Pharm. Sci 50, 278-279, 0 | 13 | |