High resolution SAR imagery ship detection based on EXS-C-CFAR in Alpha-stable clutters
Xiangwei Xing(State Key Laboratory of Remote Sensing Science), Shilin Zhou(National University of Defense Technology), Huanxin Zou(National University of Defense Technology), Kefeng Ji(National University of Defense Technology), Jixiang Sun(National University of Defense Technology)
Cited by 17
Related Papers
Multi-scale object detection in remote sensing imagery with convolutional neural networks
|ISPRS Journal of Photogrammetry and Remote Sensing|2018|521
Electrocatalysis and electroanalysis of nickel, its oxides, hydroxides and oxyhydroxides toward small molecules
|Biosensors and Bioelectronics|2013|287
Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining
|Sensors|2017|287
Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks
|IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2017|197
A CFAR Detection Algorithm for Generalized Gamma Distributed Background in High-Resolution SAR Images
|IEEE Geoscience and Remote Sensing Letters|2012|186