activity
20182023
most citedPolarimetric Convolutional Network for PolSAR Image Classification

133 citations · 467 across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2022★ 34 cited

DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation

Haoran Wei, Xu Liu, Shouchun Xu +3

Many current works directly adopt multi-rate depth-wise dilated convolutions to capture multi-scale contextual information simultaneously from one input feature map, thus improving…

cs.CV2020

Place Recognition in Forests with Urquhart Tessellations

Guilherme V. Nardari, Avraham Cohen, Steven W. Chen +4

In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest. We propose a framework that uses these descriptors to…

cs.CV2019

PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine

Xu Liu, Licheng Jiao, Dan Zhang +1

POLSAR image has an advantage over optical image because it can be acquired independently of cloud cover and solar illumination. PolSAR image classification is a hot and valuable t…

cs.CV2018★ 13 cited

Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images

Lin Cheng, Xu Liu, Lingling Li +2

Object detection is a fundamental and challenging problem in aerial and satellite image analysis. More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to b…

cs.CV2018★ 133 cited

Polarimetric Convolutional Network for PolSAR Image Classification

Xu Liu, Licheng Jiao, Xu Tang +2

The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic aperture radar (PolSAR) data have always been the focus of PolSAR image classification. Ge…