Xingsong Hou
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View article: Method for Obtaining Water-Leaving Reflectance from Unmanned Aerial Vehicle Hyperspectral Remote Sensing Based on Air–Ground Collaborative Calibration for Water Quality Monitoring
Method for Obtaining Water-Leaving Reflectance from Unmanned Aerial Vehicle Hyperspectral Remote Sensing Based on Air–Ground Collaborative Calibration for Water Quality Monitoring Open
Unmanned aerial vehicle (UAV) hyperspectral remote sensing imaging systems have demonstrated significant potential for water quality monitoring. However, accurately obtaining water-leaving reflectance from UAV imagery remains challenging d…
View article: A Giant Peanut-shaped Ultra-High-Energy Gamma-Ray Emitter Off the Galactic Plane
A Giant Peanut-shaped Ultra-High-Energy Gamma-Ray Emitter Off the Galactic Plane Open
Ultra-high-energy (UHE), exceeding 100 TeV (10^12 electronvolts), γ-rays manifests extreme particle acceleration in astrophysical sources. Recent observations by γ-ray telescopes, particularly by the Large High Altitude Air Shower Observat…
View article: Exploring Spectral Characteristics for Single Image Reflection Removal
Exploring Spectral Characteristics for Single Image Reflection Removal Open
Eliminating reflections caused by incident light interacting with reflective medium remains an ill-posed problem in the image restoration area. The primary challenge arises from the overlapping of reflection and transmission components in …
View article: Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network Open
Despite the impressive performance of existing image compression algorithms, they struggle to balance perceptual quality and high image fidelity. To address this issue, we propose a novel invertible neural network-based remote sensing imag…
View article: TSAL: Few-shot Text Segmentation Based on Attribute Learning
TSAL: Few-shot Text Segmentation Based on Attribute Learning Open
Recently supervised learning rapidly develops in scene text segmentation. However, the lack of high-quality datasets and the high cost of pixel annotation greatly limit the development of them. Considering the well-performed few-shot learn…
View article: Broadband <i>γ</i>-Ray Spectrum of Supernova Remnant Cassiopeia A
Broadband <i>γ</i>-Ray Spectrum of Supernova Remnant Cassiopeia A Open
The core-collapse supernova remnant (SNR) Cassiopeia A (Cas A) is one of the brightest galactic radio sources with an angular radius of . Although no extension of this source has been detected in the γ -ray band, using more than 1…
View article: Broadband $γ$-ray spectrum of supernova remnant Cassiopeia A
Broadband $γ$-ray spectrum of supernova remnant Cassiopeia A Open
The core-collapse supernova remnant (SNR) Cassiopeia A (Cas A) is one of the brightest galactic radio sources with an angular radius of $\sim$ 2.5 $\arcmin$. Although no extension of this source has been detected in the $γ$-ray band, using…
View article: Large-Scale Stitching of Hyperspectral Remote Sensing Images Obtained from Spectral Scanning Spectrometers Mounted on Unmanned Aerial Vehicles
Large-Scale Stitching of Hyperspectral Remote Sensing Images Obtained from Spectral Scanning Spectrometers Mounted on Unmanned Aerial Vehicles Open
To achieve large-scale stitching of the hyperspectral remote sensing images obtained by unmanned aerial vehicles (UAVs) equipped with an acousto-optic tunable filter spectrometer, this study proposes a method based on a feature fusion stra…
View article: Temporal Dynamics of Syntax and Semantics During Minimal Hierarchical Structure Processing
Temporal Dynamics of Syntax and Semantics During Minimal Hierarchical Structure Processing Open
View article: QueryCDR: Query-Based Controllable Distortion Rectification Network for Fisheye Images
QueryCDR: Query-Based Controllable Distortion Rectification Network for Fisheye Images Open
Fisheye image rectification aims to correct distortions in images taken with fisheye cameras. Although current models show promising results on images with a similar degree of distortion as the training data, they will produce sub-optimal …
View article: Discard Significant Bits of Compressed Sensing: A Robust Image Coding for Resource-Limited Contexts
Discard Significant Bits of Compressed Sensing: A Robust Image Coding for Resource-Limited Contexts Open
Compressed sensing (CS) provides a robust and simple framework for compressing images in resource-constrained environments. However, CS-based image coding schemes often have poor rate-distortion (R-D) performance, particularly due to the q…
View article: Stringent Tests of Lorentz Invariance Violation from LHAASO Observations of GRB 221009A
Stringent Tests of Lorentz Invariance Violation from LHAASO Observations of GRB 221009A Open
On 9 October 2022, the Large High Altitude Air Shower Observatory (LHAASO) reported the observation of the very early TeV afterglow of the brightest-of-all-time gamma-ray burst 221009A, recording the highest photon statistics in the TeV ba…
View article: Real-Time Registration of Unmanned Aerial Vehicle Hyperspectral Remote Sensing Images Using an Acousto-Optic Tunable Filter Spectrometer
Real-Time Registration of Unmanned Aerial Vehicle Hyperspectral Remote Sensing Images Using an Acousto-Optic Tunable Filter Spectrometer Open
Differences in field of view may occur during unmanned aerial remote sensing imaging applications with acousto-optic tunable filter (AOTF) spectral imagers using zoom lenses. These differences may stem from image size deformation caused by…
View article: Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression
Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression Open
Deep learning-based methods have garnered significant attention in remote sensing (RS) image compression due to their superior performance. Most of these methods focus on enhancing the coding capability of the compression network and impro…
View article: Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression Open
Deep learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion (RD) performance. However, few algorithms le…
View article: Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network Open
Decoding remote sensing images to achieve high perceptual quality, particularly at low bitrates, remains a significant challenge. To address this problem, we propose the invertible neural network-based remote sensing image compression (INN…
View article: Discovery of Very-high-energy Gamma-ray Emissions from the Low Luminosity AGN NGC 4278 by LHAASO
Discovery of Very-high-energy Gamma-ray Emissions from the Low Luminosity AGN NGC 4278 by LHAASO Open
The first source catalog of Large High Altitude Air Shower Observatory reported the detection of a very-high-energy gamma ray source, 1LHAASO J1219+2915. In this paper a further detailed study of the spectral and temporal behavior of this …
View article: CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model
CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model Open
The emergence of generative models has revolutionized the field of remote sensing (RS) image generation. Despite generating high-quality images, existing methods are limited in relying mainly on text control conditions, and thus do not alw…
View article: Very high energy gamma-ray emission beyond 10 TeV from GRB 221009A
Very high energy gamma-ray emission beyond 10 TeV from GRB 221009A Open
The highest energy gamma-rays from gamma-ray bursts (GRBs) have important implications for their radiation mechanism. Here we report for the first time the detection of gamma-rays up to 13 TeV from the brightest GRB 221009A by the Large Hi…
View article: Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement Open
Although low-light image enhancement has achieved great stride based on deep enhancement models, most of them mainly stress on enhancement performance via an elaborated black-box network and rarely explore the physical significance of enha…
View article: Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement
Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement Open
Low-light image enhancement strives to improve the contrast, adjust the visibility, and restore the distortion in color and texture. Existing methods usually pay more attention to improving the visibility and contrast via increasing the li…
View article: Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing Open
The learned denoising-based approximate message passing (LDAMP) algorithm has attracted great attention for image compressed sensing (CS) tasks. However, it has two issues: first, its global measurement model severely restricts its applica…
View article: Deformable channel non‐local network for crowd counting
Deformable channel non‐local network for crowd counting Open
Both global dependency and local correlation are crucial for solving the scale variation of crowd. However, most of previous methods fail to take two factors into consideration simultaneously. Against the aforementioned issue, a deformable…
View article: Dual-branch low-light image enhancement network via YCbCr space divide-and-conquer
Dual-branch low-light image enhancement network via YCbCr space divide-and-conquer Open
目的 现有的低照度图像增强算法通常在RGB颜色空间采用先增强后去噪的方式提升对比度并抑制噪声，由于亮度失真和噪声在RGB颜色空间存在复杂的耦合关系，往往导致增强结果不理想。先增强后去噪的方式也放大了原本隐藏在黑暗中的噪声，使去噪变得困难。为有效处理亮度失真并抑制噪声，提出了一个基于YCbCr颜色空间的双分支低照度图像增强网络，以获得正常亮度和具有低噪声水平的增强图像。方法 由于YCbCr颜色空间可以分离亮度信息与色度信息，实现亮度失真和噪声的解耦，首先将低照度图像由RGB颜…
View article: Robust image compression‐encryption via scrambled block bernoulli sampling with diffusion noise
Robust image compression‐encryption via scrambled block bernoulli sampling with diffusion noise Open
This paper proposed an image compression‐encryption scheme based on compressive sensing theory, which achieves high security, strong robustness, and high rate‐distortion performance. First, the denoising preprocessing strategy is applied a…
View article: Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing
Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing Open
In the design and research of an unmanned aerial vehicle-borne hyperspectral imager with an acousto-optic tunable filter (AOTF), the depth of the field range of the imaging objective lens is fixed, the spectral range of 400-1000nm is wide,…
View article: Absolute Zero-Shot Learning
Absolute Zero-Shot Learning Open
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero real data. The key innovation is to involve a teacher model …
View article: A Non-Local Enhanced Network for Image Restoration
A Non-Local Enhanced Network for Image Restoration Open
Non-local modules have been widely studied in image restoration (IR) tasks since they can learn long-range dependencies to enhance local features. However, most existing non-local modules still focus on extracting long-range dependencies w…
View article: UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring
UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring Open
Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique advantages in high-precision quantitative analysis of non-contact water surface source concentration. Improving the accuracy of non-point source detection …
View article: Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image.
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. Open
Supervised deep networks have achieved promisingperformance on image denoising, by learning image priors andnoise statistics on plenty pairs of noisy and images. Unsupervised denoising networks are trained with only noisy images. However,…