ISPRS Journal of Photogrammetry and Remote Sensing Volume 160 February 2020

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1. Transferring deep learning models for cloud detection between Landsat-8 and Proba-Vp. 1-17
2. Estimating winter wheat yield based on a light use efficiency model and wheat variety datap. 18-32
3. TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMsp. 33-50
4. A two-step approach for the correction of rolling shutter distortion in UAV photogrammetryp. 51-66
5. Orientation guided anchoring for geospatial object detection from remote sensing imageryp. 67=82
6. Optimising drone flight planning for measuring horticultural tree crop structurep. 83-96
7. A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imageryp. 97-106
8. Automated training sample definition for seasonal burned area mappingp. 107-123
9. Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods p. 124-135
10. A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices p. 136-148
11. Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference pp. 149-166
12. Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection p. 167-179
13. Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors p. 180-194
14. Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering p. 195-207
15. Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm p. 208-228
16. Polarimetric calibration for the distributed Gaofen-3 product by an improved unitary zero helix framework p. 229-243
17. Robust point cloud registration based on topological graph and Cauchy weighted p. 244-254
18. A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images . 260-274
19. On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction p. 275-290
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Elsevier : Amsterdam.,

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290 hlm. : illus. ; 28 cm







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Volume 160 February 2020

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