Lingda Wu
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View article: PUnet: A robust framework for phase unwrapping in interferometric SAR
PUnet: A robust framework for phase unwrapping in interferometric SAR Open
Synthetic Aperture Radar Interferometry (InSAR) has grown significantly over the past few decades, which were mainly used in remote sensing applications. Most InSAR applications (e.g., terrain mapping and monitoring) utilized a key techniq…
View article: Two-stage 3D object detection guided by position encoding
Two-stage 3D object detection guided by position encoding Open
Voxel-based structures in 3D detection have achieved rapid advancement due to their superior capability for feature extraction. However, the accuracy is usually low because the point cloud is divided into a grid. In order to overcome the a…
View article: Self-Supervised Monocular Depth Learning in Low-Texture Areas
Self-Supervised Monocular Depth Learning in Low-Texture Areas Open
For the task of monocular depth estimation, self-supervised learning supervises training by calculating the pixel difference between the target image and the warped reference image, obtaining results comparable to those with full supervisi…
View article: Image Restoration for the MRA-Based Pansharpening Method
Image Restoration for the MRA-Based Pansharpening Method Open
By merging high-resolution panchromatic (PAN) images with low-resolution multispectral (MS) images, high-resolution MS images with complementary information can be obtained, i.e., pansharpening. Multiresolution analysis (MRA) methods have …
View article: A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning
A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning Open
Due to the sparsity of hyperspectral images, the dictionary learning framework has been applied in hyperspectral endmember extraction. However, current endmember extraction methods based on dictionary learning are not robust enough in nois…
View article: Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning
Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning Open
To address the problems of defective pixels and strips in hyperspectral images affecting subsequent processing and applications, we modeled the hyperspectral image (HSI) inpainting problem as a sparse signal reconstruction problem with inc…
View article: A Segmentation-Cooperated Pansharpening Method Using Local Adaptive Spectral Modulation
A Segmentation-Cooperated Pansharpening Method Using Local Adaptive Spectral Modulation Open
In order to improve the spatial resolution of multispectral (MS) images and reduce spectral distortion, a segmentation-cooperated pansharpening method using local adaptive spectral modulation (LASM) is proposed in this paper. By using the …
View article: Layer-Edge Patterns Exploration and Presentation in Multiplex Networks: From Detail to Overview via Selections and Aggregations
Layer-Edge Patterns Exploration and Presentation in Multiplex Networks: From Detail to Overview via Selections and Aggregations Open
Multiplex networks have been widely used to describe the multi-type connections of entities in the real world. However, researches for multiplex networks visualization unilaterally focus on the presentation of topological structure, lackin…
View article: Research on Resource Allocation Method of Space Information Networks Based on Deep Reinforcement Learning
Research on Resource Allocation Method of Space Information Networks Based on Deep Reinforcement Learning Open
The space information networks (SIN) have a series of characteristics, such as strong heterogeneity, multiple types of resources, and difficulty in management. Aiming at the problem of resource allocation in SIN, this paper firstly establi…
View article: Pansharpening with a Gradient Domain GIF Based on NSST
Pansharpening with a Gradient Domain GIF Based on NSST Open
In order to improve the fusion quality of multispectral (MS) and panchromatic (PAN) images, a pansharpening method with a gradient domain guided image filter (GIF) that is based on non-subsampled shearlet transform (NSST) is proposed. Firs…
View article: Reconfigurable Modeling Method of Task-Oriented Architecture for Space Information Networks Based on DaaC
Reconfigurable Modeling Method of Task-Oriented Architecture for Space Information Networks Based on DaaC Open
As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support. The architecture model of the SIN is of great significance to the construction and development of …
View article: Hyperspectral Image Denoising Based on Spectral Dictionary Learning and Sparse Coding
Hyperspectral Image Denoising Based on Spectral Dictionary Learning and Sparse Coding Open
Processing and applications of hyperspectral images (HSI) are limited by the noise component. This paper establishes an HSI denoising algorithm by applying dictionary learning and sparse coding theory, which is extended into the spectral d…
View article: Multi-Topology Routing Algorithms in SDN-Based Space Information Networks
Multi-Topology Routing Algorithms in SDN-Based Space Information Networks Open
Aiming at the complex structure of the space information networks (SIN) and the dynamic change of network topology, in order to design an efficient routing strategy, this paper establishes a SIN management architecture based on Software-de…
View article: SINDVis: User-Centered Dynamic Interactive Visualization System for Space Information Networks
SINDVis: User-Centered Dynamic Interactive Visualization System for Space Information Networks Open
As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support. In this paper, we design and implement a user-centered, dynamic, interactive visualization system …
View article: Affinity Propagation for Hyperspectral Band Selection
Affinity Propagation for Hyperspectral Band Selection Open
Because hyperspectral images have the characteristics of high correlation between bands and strong information redundancy, the reduction in dimension of hyperspectral images is an important step in the pre-processing of hyperspectral image…
View article: Research on the Weighted Dynamic Evolution Model for Space Information Networks Based on Local-World
Research on the Weighted Dynamic Evolution Model for Space Information Networks Based on Local-World Open
As an important national strategy infrastructure, the Space Information Network (SIN) is a powerful platform for future information support, and it plays an important role in many aspects such as national defense, people’s livelihood, etc.…
View article: Rotation Invariant Local Binary Convolution Neural Networks
Rotation Invariant Local Binary Convolution Neural Networks Open
Convolutional neural networks (CNNs) have achieved unprecedented successes in computer vision fields, but they remain challenged by the problem about how to effectively process the orientation transformation of objects with fewer parameter…
View article: Research on the Integration and Verification of Foundational Software and Hardware
Research on the Integration and Verification of Foundational Software and Hardware Open
Following the high-speed development of information technology, we increasingly attach important to the information security.The development of independent self-controlled SW&HW (software and hardware) was advanced.Thanks to the faultiness…
View article: Theory of multi‐level refractive geometry
Theory of multi‐level refractive geometry Open
When capturing images of a submerged object using a conventional digital camera in the air, the light ray no longer travels along a straight line due to refraction occurring at the interface between different media, making the traditional …
View article: An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion
An Efficient Primitive-Based Method to Recognize Online Sketched Symbols with Autocompletion Open
We present a new structural method of sketched symbol recognition, which aims to recognize a hand-drawn symbol before it is fully completed. It is invariant to scale, stroke number, and order. We also present two novel descriptors to repre…
View article: Semantic Similarity Algorithm Based on Generalized Regression Neural Network
Semantic Similarity Algorithm Based on Generalized Regression Neural Network Open
Based on the intensives study of semantic similarity algorithms and artificial neural networks knowledge, a generalized regression neural network semantic similarity algorithm is proposed.Training samples are obtained by extracting the pri…