35 citations · 80 across the 7 of their papers we have counts for
7 papers
Pairwise Comparison Network for Remote Sensing Scene Classification
Zhang Yue, Zheng Xiangtao, Lu Xiaoqiang
Remote sensing scene classification aims to assign a specific semantic label to a remote sensing image. Recently, convolutional neural networks have greatly improved the performanc…
Objects detection for remote sensing images based on polar coordinates
Lin Zhou, Haoran Wei, Hao Li +3
Arbitrary-oriented object detection is an important task in the field of remote sensing object detection. Existing studies have shown that the polar coordinate system has obvious a…
Oriented Objects as pairs of Middle Lines
Haoran Wei, Yue Zhang, Zhonghan Chang +3
The detection of oriented objects is frequently appeared in the field of natural scene text detection as well as object detection in aerial images. Traditional detectors for orient…
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
Haoran Wei, Yue Zhang, Bing Wang +3
Motivated by the development of deep convolution neural networks (DCNNs), tremendous progress has been gained in the field of aircraft detection. These DCNNs based detectors mainly…
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Tengfei Zhang, Yue Zhang, Xian Sun +3
Deep learning based object detection has achieved great success. However, these supervised learning methods are data-hungry and time-consuming. This restriction makes them unsuitab…
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang, Yue Zhang, Xian Sun +4
The current advances in object detection depend on large-scale datasets to get good performance. However, there may not always be sufficient samples in many scenarios, which leads…
Wider Channel Attention Network for Remote Sensing Image Super-resolution
Jun Gu, Guangluan Xu, Yue Zhang +3
Recently, deep convolutional neural networks (CNNs) have obtained promising results in image processing tasks including super-resolution (SR). However, most CNN-based SR methods tr…