Search Results - "Zou, Zhengxia"
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Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images
Published in IEEE transactions on image processing (01-03-2018)“…We propose a new paradigm for target detection in high resolution aerial remote sensing images under small target priors. Previous remote sensing target…”
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Ship Detection in Spaceborne Optical Image With SVD Networks
Published in IEEE transactions on geoscience and remote sensing (01-10-2016)“…Automatic ship detection on spaceborne optical images is a challenging task, which has attracted wide attention due to its extensive potential applications in…”
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3
Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image?
Published in IEEE transactions on geoscience and remote sensing (01-06-2017)“…This paper investigates an intriguing question in the remote sensing field: "can a machine generate humanlike language descriptions for a remote sensing…”
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4
Super-Resolution for Remote Sensing Images via Local-Global Combined Network
Published in IEEE geoscience and remote sensing letters (01-08-2017)“…Super-resolution is an image processing technology that recovers a high-resolution image from a single or sequential low-resolution images. Recently deep…”
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5
Building Extraction from Remote Sensing Images with Sparse Token Transformers
Published in Remote sensing (Basel, Switzerland) (01-11-2021)“…Deep learning methods have achieved considerable progress in remote sensing image building extraction. Most building extraction methods are based on…”
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6
Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection
Published in Remote sensing (Basel, Switzerland) (01-06-2019)“…Ensemble learning is an important group of machine learning techniques that aim to enhance the nonlinearity and generalization ability of a learning system by…”
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7
Fully Convolutional Network With Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images
Published in IEEE geoscience and remote sensing letters (01-10-2017)“…Ship detection in optical remote sensing imagery has drawn much attention in recent years, especially with regards to the more challenging inshore ship…”
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Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network
Published in Remote sensing (Basel, Switzerland) (01-05-2017)“…In current remote sensing literature, the problems of sea-land segmentation and ship detection (including in-dock ships) are investigated separately despite…”
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9
Automatic Raft Labeling for Remote Sensing Images via Dual-Scale Homogeneous Convolutional Neural Network
Published in Remote sensing (Basel, Switzerland) (01-07-2018)“…Raft-culture is a way of utilizing water for farming aquatic product. Automatic raft-culture monitoring by remote sensing technique is an important way to…”
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10
3D Reconstruction of Remote Sensing Mountain Areas with TSDF-Based Neural Networks
Published in Remote sensing (Basel, Switzerland) (01-09-2022)“…The remote sensing 3D reconstruction of mountain areas has a wide range of applications in surveying, visualization, and game modeling. Different from indoor…”
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11
Target Detection in Hyperspectral Remote Sensing Image: Current Status and Challenges
Published in Remote sensing (Basel, Switzerland) (01-07-2023)“…Abundant spectral information endows unique advantages of hyperspectral remote sensing images in target location and recognition. Target detection techniques…”
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12
Learning naturalistic driving environment with statistical realism
Published in Nature communications (11-04-2023)“…For simulation to be an effective tool for the development and testing of autonomous vehicles, the simulator must be able to produce realistic safety-critical…”
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13
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter
Published in IEEE transactions on intelligent transportation systems (01-03-2016)“…Traffic light detection plays an important role in intelligent transportation system, and many detection methods have been proposed in recent years. However,…”
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14
Local Attention Networks for Occluded Airplane Detection in Remote Sensing Images
Published in IEEE geoscience and remote sensing letters (01-03-2020)“…Despite the great progress of deep learning and target detection in recent years, the accurate detection of the occluded targets in remote sensing images still…”
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15
Do Game Data Generalize Well for Remote Sensing Image Segmentation?
Published in Remote sensing (Basel, Switzerland) (01-01-2020)“…Despite the recent progress in deep learning and remote sensing image interpretation, the adaption of a deep learning model between different sources of remote…”
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16
Face-to-Parameter Translation for Game Character Auto-Creation
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2019)“…Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game…”
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Conference Proceeding -
17
Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2024)“…Cloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate…”
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18
Dual-Branched Spatio-Temporal Fusion Network for Multihorizon Tropical Cyclone Track Forecast
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2022)“…A tropical cyclone (TC) is a typical extreme tropical weather system, which could cause serious disasters in transit areas. Accurate TC track forecasting is…”
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19
Hierarchical Suppression Method for Hyperspectral Target Detection
Published in IEEE transactions on geoscience and remote sensing (01-01-2016)“…Target detection is an important application in the hyperspectral image processing field, and several detection algorithms have been proposed in the past…”
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20
Object Detection in 20 Years: A Survey
Published in Proceedings of the IEEE (01-03-2023)“…Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two…”
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Journal Article