Works in International Journal of Remote Sensing, 2020, Vol 41, Issue 9
Results: 19
Parameter estimation and evaluation of Ross-Li and RPV models for wheat phenophases using hemispherical directional reflectance measurements.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3627, doi. 10.1080/01431161.2019.1707897
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- Article
Learning a robust CNN-based rotation insensitive model for ship detection in VHR remote sensing images.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3614, doi. 10.1080/01431161.2019.1706781
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Evaluating the accuracy of and evaluating the potential errors in extracting vegetation phenology through remote sensing in China.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3592, doi. 10.1080/01431161.2019.1706780
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- Article
Mapping a lithologically complex terrain using Sentinel-2A data: a case study of Suriyan area, southwestern Iran.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3558, doi. 10.1080/01431161.2019.1706203
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A fast, weighted CRF algorithm based on a two-step superpixel generation for SAR image segmentation.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3535, doi. 10.1080/01431161.2019.1706202
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- Article
Southern Caspian Sea wind speed retrieval from C-band Sentinel-1A SAR images.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3511, doi. 10.1080/01431161.2019.1706201
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Customizing unmanned aircraft systems to reduce forest inventory costs: can oblique images substantially improve the 3D reconstruction of the canopy?
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3480, doi. 10.1080/01431161.2019.1706200
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Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3446, doi. 10.1080/01431161.2019.1706112
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A band selection approach based on Lévy sine cosine algorithm and alternative distribution for hyperspectral image.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3429, doi. 10.1080/01431161.2019.1706010
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Research on a novel extraction method using Deep Learning based on GF-2 images for aquaculture areas.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3575, doi. 10.1080/01431161.2019.1706009
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Extraction of urban power lines and potential hazard analysis from mobile laser scanning point clouds.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3411, doi. 10.1080/01431161.2019.1701726
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Transferability of object-based image analysis approaches for landslide detection in the Himalaya Mountains of northern Pakistan.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3390, doi. 10.1080/01431161.2019.1701725
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Spatio-temporal predictions of SST time series in China's offshore waters using a regional convolution long short-term memory (RC-LSTM) network.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3368, doi. 10.1080/01431161.2019.1701724
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Regional scale soil moisture content estimation based on multi-source remote sensing parameters.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3346, doi. 10.1080/01431161.2019.1701723
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Remote sensing-based river discharge estimation for a small river flowing over the high mountain regions of the Tibetan Plateau.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3322, doi. 10.1080/01431161.2019.1701213
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Design and experiments of X-type artificial control targets for a UAV-LiDAR system.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3307, doi. 10.1080/01431161.2019.1701210
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Effect of ground surface interpolation methods on the accuracy of forest attribute modelling using unmanned aerial systems-based digital aerial photogrammetry.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3287, doi. 10.1080/01431161.2019.1694722
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Analysis of the application of an advanced classifier algorithm to ultra-high resolution unmanned aerial aircraft imagery – a neural network approach.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3266, doi. 10.1080/01431161.2019.1688413
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UAV-based thermal imaging in the assessment of water status of soybean plants.
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- International Journal of Remote Sensing, 2020, v. 41, n. 9, p. 3243, doi. 10.1080/01431161.2019.1673914
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