output
20172026
most citedGraph Convolutional Networks for Hyperspectral Image Classification

1.7k citations

Showing 2022Show all

17 papers · 1 filter

cond-mat.str-el2022★ 4 cited

The entanglement entropy of the quantum Hall edge and its geometric contribution

Dan Ye, Yi Yang, Qi Li +1

Generally speaking, the entanglement entropy (EE) between two subregions of a gapped quantum many-body state is proportional to the area/length of their interface due to the short…

cs.CV2022★ 1.1k cited

UIU-Net: U-Net in U-Net for Infrared Small Object Detection

Xin Wu, Danfeng Hong, Jocelyn Chanussot

Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distingui…

eess.SP2022★ 24 cited

ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold

Muhan Wang, Zhe Zhang, Xiaolan Qiu +2

Tomographic SAR technique has attracted remarkable interest for its ability of three-dimensional resolving along the elevation direction via a stack of SAR images collected from di…

cond-mat.str-el2022★ 11 cited

Nonlocal optical conductivity of Fermi surface nesting materials

Xiamin Huang, Xiao Jiang, Bing Huang +1

We investigate the nonlocal optical conductivity of Fermi surface nesting materials which support charge density waves or spin density waves. The nonlocal optical conductivity cont…

quant-ph2022★ 13 cited

Origin of the repulsive Casimir force in giant polarization-interconversion materials

Zhou Li, Chinmay Khandekar

Achieving strong repulsive Casimir forces through engineered coatings can pave the way for micro- and nano-electromechanical applications where adhesive forces currently cause reli…

cs.CV2022★ 20 cited

Multi-Grained Angle Representation for Remote Sensing Object Detection

Hao Wang, Zhanchao Huang, Zhengchao Chen +2

Arbitrary-oriented object detection (AOOD) plays a significant role for image understanding in remote sensing scenarios. The existing AOOD methods face the challenges of ambiguity…

cs.CV2022★ 26 cited

Learning to Evaluate Performance of Multi-modal Semantic Localization

Zhiqiang Yuan, Wenkai Zhang, Chongyang Li +6

Semantic localization (SeLo) refers to the task of obtaining the most relevant locations in large-scale remote sensing (RS) images using semantic information such as text. As an em…

eess.IV2022★ 22 cited

Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure

Yice Cao, Yan Wu, Ming Li +3

Compared with the rapid development of single-frequency multi-polarization SAR image classification technology, there is less research on the land cover classification of multifreq…

cs.CV2022★ 67 cited

Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification

Yongqiang Mao, Kaiqiang Chen, Wenhui Diao +4

The classification of airborne laser scanning (ALS) point clouds is a critical task of remote sensing and photogrammetry fields. Although recent deep learning-based methods have ac…

cond-mat.mes-hall2022★ 8 cited

High-order harmonic generations in tilted Weyl semimetals

Zi-Yuan Li, Qi Li, Zhou Li

We investigate high-order harmonic generations (HHGs) under the comparison of Weyl cones in two types. Due to the hyperboloidal electron pocket structure, strong noncentrosymmetric…

eess.SP2022★ 13 cited

A Novel Gradient Descent Least Squares (GDLS) Algorithm for Efficient SMV Gridless Line Spectrum Estimation with Applications in Tomographic SAR Imaging

Ruizhe Shi, Zhe Zhang, Xiaolan Qiu +1

This paper presents a novel efficient method for gridless line spectrum estimation problem with single snapshot, namely the gradient descent least squares (GDLS) method. Convention…

cs.CV2022★ 217 cited

Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Zhiqiang Yuan, Wenkai Zhang, Kun Fu +4

Remote sensing (RS) cross-modal text-image retrieval has attracted extensive attention for its advantages of flexible input and efficient query. However, traditional methods ignore…

cs.CV2022★ 175 cited

Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information

Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian +5

Cross-modal remote sensing text-image retrieval (RSCTIR) has recently become an urgent research hotspot due to its ability of enabling fast and flexible information extraction on r…

cs.CV2022★ 32 cited

On Distinctive Image Captioning via Comparing and Reweighting

Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1

Recent image captioning models are achieving impressive results based on popular metrics, i.e., BLEU, CIDEr, and SPICE. However, focusing on the most popular metrics that only cons…

cs.CV2022★ 511 cited

Multimodal Fusion Transformer for Remote Sensing Image Classification

Swalpa Kumar Roy, Ankur Deria, Danfeng Hong +3

Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs). As a result, m…

physics.optics2022★ 54 cited

Bond-Selective Intensity Diffraction Tomography

Jian Zhao, Alex Matlock, Hongbo Zhu +10

Recovering molecular information remains a grand challenge in the widely used holographic and computational imaging technologies. To address this challenge, we developed a computat…

cs.CV2022★ 27 cited

Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction

Pinhe Wang, Limin Shi, Bao Chen +3

How to use multiple optical satellite images to recover the 3D scene structure is a challenging and important problem in the remote sensing field. Most existing methods in literatu…