isprs archives XLI B3 841 2016
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In view of this, in this paper, a novel kernel sparse subspace clustering algorithm with spatial max pooling operation (KSSC- SMP) for hyperspectral remote sensing
A NOVEL SHIP DETECTION METHOD FOR LARGE-SCALE OPTICAL SATELLITE IMAGES BASED ON VISUAL LBP FEATURE AND VISUAL ATTENTION MODEL.. Sui Haigang a, *, Song Zhina
The main steps of this approach include building segmentation, feature extraction and learning, and finally building roof labeling in a supervised pre-trained Convolutional
In this way, inventory data is obtained in a fast, reliable manner, and it can be applied to improve the maintenance planning of the road network, or to feed a Spatial
The dataset considered here represents the test and training site of the Technical Center in Meppen , Northern Germany. A DSM sampled with a resolution of 0.5m from an ALS point
In this study, a new method is presented to extract individual tree segments using LiDAR points with 10cm point density.. In this method, a two-step strategy is performed
In this study, we propose a processing of point cloud data by extracting geometrical features of 3D point cloud using Fast Point Feature Histogram (FPFH) and a classification of
A camera calibration where the camera is shifted and rotated and where a two dimensional calibration pattern is used cannot be per- formed, because the world points must not lay on
