|
|
|
Fang Ding, Lin Wang, Iryna Dronova and Kun Cao
Beijing-1 and ENVISAT ASAR images were used to classify wetland aquatic macrophytes in terms of their plant functional types (PFTs) over the Poyang Lake region, China. Speckle noise filtering, systematic sensor calibration within the same polarization or...
ver más
|
|
|
|
|
|
Jayashree Moorthy and Usha Devi Gandhi
Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep learning medical field, including the major common issues published in recent...
ver más
|
|
|
|
|
|
Yao Yao and Shixin Wang
To improve the multi-resolution segmentation (MRS) quality of plastic greenhouses (PGs) in GaoFen-2 (GF-2) images, the effects of atmospheric correction and image enhancement on effective PG segments (EPGSs) were evaluated. A new semi-automatic method wa...
ver más
|
|
|
|
|
|
Zhen Li, Xiaoming Zhang, Junxiang Tan and Hua Liu
Registration is essential for terrestrial LiDAR (light detection and ranging) scanning point clouds. The registration of indoor point clouds is especially challenging due to the occlusion and self-similarity of indoor structures. This paper proposes a 4 ...
ver más
|
|
|
|
|
|
Yijing Li, Ping Liu, Huokun Li and Faming Huang
Dam deformation monitoring can directly identify the safe operation state of a dam in advance, which plays an important role in dam safety management. Three-dimensional (3D) terrestrial laser scanning technology is widely used in the field of deformation...
ver más
|
|
|