Search Results - "Li, Dilong"
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Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…Deep learning models have brought great breakthroughs in building extraction from high-resolution optical remote-sensing images. Among recent research, the…”
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Road extraction in remote sensing data: A survey
Published in International journal of applied earth observation and geoinformation (01-08-2022)“…•This review covers a wider perspective in terms of both 2D remote sensing images and 3D point clouds.•This review provides a detail survey on 2D and 3D remote…”
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DPENet: Dual-path extraction network based on CNN and transformer for accurate building and road extraction
Published in International journal of applied earth observation and geoinformation (01-11-2023)“…•We propose a novel dual-path object extraction network that combines the strengths of CNN and Transformer. The network integrates a spatial detail branch and…”
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Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks
Published in Remote sensing (Basel, Switzerland) (01-10-2020)“…Building extraction has attracted much attentions for decades as a prerequisite for many applications and is still a challenging topic in the field of…”
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Building and road detection from remote sensing images based on weights adaptive multi-teacher collaborative distillation using a fused knowledge
Published in International journal of applied earth observation and geoinformation (01-11-2023)“…•The paper makes the following key contributions:•Put forward a knowledge distillation strategy based on feature-level fusion among multiple…”
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6
The role and application of three IFN-related reactions in psoriasis
Published in Biomedicine & pharmacotherapy (01-11-2023)“…The pathophysiology of psoriasis is a highly complicated one. Due to the disease's specificity, it not only affects the patient's skin negatively but also…”
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Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network
Published in International journal of applied earth observation and geoinformation (25-12-2021)“…•A state-of-the-art FR-GCNet was applied for airborne multispectral LiDAR (MS-LiDAR) point cloud classification.•The FPS-KNN sampling strategy was used to…”
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Graph Neural Networks in Point Clouds: A Survey
Published in Remote sensing (Basel, Switzerland) (01-07-2024)“…With the advancement of 3D sensing technologies, point clouds are gradually becoming the main type of data representation in applications such as autonomous…”
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Hierarchical local global transformer for point clouds analysis
Published in International journal of applied earth observation and geoinformation (01-05-2024)“…•A novel local global Transformer module is proposed to learn the inner-group self-attention and cross-group self attention.•A novel geometric moment based…”
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10
Object detection in aerial images using DOTA dataset: A survey
Published in International journal of applied earth observation and geoinformation (01-11-2024)“…•Presents a comprehensive overview of literature studies related to the DOTA dataset for the first time.•Revisits other prevalent datasets related to RSIs, and…”
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Multiple super-agile satellite collaborative mission planning for area target imaging
Published in International journal of applied earth observation and geoinformation (01-03-2023)“…•The proposed collaborative framework ensures the efficiency of multi-satellite cooperation.•We revel synchronized optimization for resources allocation and…”
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12
Multispectral LiDAR Point Cloud Classification Using SE-PointNet
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…A multispectral light detection and ranging (LiDAR) system, which simultaneously collects spatial geometric data and multi-wavelength intensity information,…”
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13
Semisupervised Classification for Hyperspectral Imagery With Transductive Multiple-Kernel Learning
Published in IEEE geoscience and remote sensing letters (01-11-2014)“…The classification of hyperspectral imagery is a challenging problem because few labeled pixels are available. In this letter, we propose a new semisupervised…”
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14
OA-CapsNet: A One-Stage Anchor-Free Capsule Network for Geospatial Object Detection from Remote Sensing Imagery
Published in Canadian journal of remote sensing (04-05-2021)“…Object detection from remote sensing images serves as an important prerequisite to many applications. However, caused by scale and orientation variations,…”
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GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification
Published in IEEE access (2020)“…Geometric feature acts as an important role in point cloud shape classification tasks. Previous methods have proved that the geometric information of point…”
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16
Bloodletting cupping combined with conventional measures therapy for psoriasis: A systematic review and meta-analysis of randomized controlled trials
Published in Frontiers in medicine (16-02-2023)“…Psoriasis is an immune-mediated inflammatory disease prone to recurrence. Some studies indicated that bloodletting cupping combined with conventional measures…”
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17
The first Szegő limit theorem on multi-dimensional torus
Published in Advances in mathematics (New York. 1965) (01-07-2024)“…In this paper, we consider the first Szegő limit theorems on d-torus Td for 1≤d≤+∞. Given φ∈L1(Td) and a finite subset σ={ξ1⋯,ξn} of the dual group Zd of Td,…”
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Vehicle Detection From High-Resolution Remote Sensing Imagery Using Convolutional Capsule Networks
Published in IEEE geoscience and remote sensing letters (01-12-2019)“…Vehicle detection plays an important role in a variety of traffic-related applications. However, due to the scale and orientation variations and partial…”
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RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery
Published in IEEE transactions on intelligent transportation systems (01-08-2022)“…Road detection plays an important role in a wide range of applications. However, due to size variations, spectral diversities, occlusions, and complex…”
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A Cascaded Deep Convolutional Network for Vehicle Logo Recognition From Frontal and Rear Images of Vehicles
Published in IEEE transactions on intelligent transportation systems (01-02-2021)“…Vehicle logo recognition provides an important supplement to vehicle make and model analysis. Some of the existing vehicle logo recognition methods depend on…”
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