Ertao Gao
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View article: MSS-Net: a lightweight network incorporating shifted large kernel and multi-path attention for ship detection in remote sensing images
MSS-Net: a lightweight network incorporating shifted large kernel and multi-path attention for ship detection in remote sensing images Open
For the challenges with nearshore small ship detection in remote sensing images (RSIs) under complex background, a lightweight network called “multi-path attention and shifted large kernel network for ship detection” (briefly called “MSS-N…
View article: Extraction of Suaeda salsa from UAV Imagery Assisted by Adaptive Capture of Contextual Information
Extraction of Suaeda salsa from UAV Imagery Assisted by Adaptive Capture of Contextual Information Open
Suaeda salsa, a halophytic plant species, exhibits a remarkable salt tolerance and demonstrates a significant phytoremediation potential through its capacity to absorb and accumulate saline ions and heavy metals from soil substrates, there…
View article: Development of Laser Underwater Transmission Model from Maximum Water Depth Perspective
Development of Laser Underwater Transmission Model from Maximum Water Depth Perspective Open
The traditional method for the establishment of the green laser underwater transmission model is purely based on the laser transmission mechanism in waterbodies, while neglecting a few exterior conditions. This paper proposes a novel metho…
View article: 22-year dynamic analysis of vegetation cover in karst area: a case study in Guangxi, China
22-year dynamic analysis of vegetation cover in karst area: a case study in Guangxi, China Open
Karst area usually suffered from dry duo to its thin soil thickness, resulting in a sparse vegetation cover than other areas’, further ecological unbalance. This paper investigates the changes in vegetation cover over 22 years (2001–2022) …
View article: A novel constrained spectral matching approach for extending UAV multispectral reflectance measurements and estimating nitrogen and phosphorus contents in wetland vegetation species
A novel constrained spectral matching approach for extending UAV multispectral reflectance measurements and estimating nitrogen and phosphorus contents in wetland vegetation species Open
View article: A multi-scale enhanced feature fusion model for aircraft detection from SAR images
A multi-scale enhanced feature fusion model for aircraft detection from SAR images Open
Aircraft detection has been a challenging task although many efforts have been made due to the diversity of aircraft scale and interference of complicated background in synthetic aperture radar (SAR) images. So, this paper proposes a new m…
View article: RTK + 4G Combination Positioning Method Under Sheltered Environment for High-Accuracy of MMS
RTK + 4G Combination Positioning Method Under Sheltered Environment for High-Accuracy of MMS Open
The accuracy of the existing positioning methods is not sufficiently ideal in mobile mapping system (MMS) when GPS signals are sheltered by such as tall buildings, mountain peaks. To solve this problem, this paper presents a new positionin…
View article: Development of Many-Body Quantum Superpixel Entanglement Model for Remote Sensing Image Classification
Development of Many-Body Quantum Superpixel Entanglement Model for Remote Sensing Image Classification Open
View article: DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images
DeepU-Net: A Parallel Dual-Branch Model for Deeply Fusing Multiscale Features for Road Extraction From High-Resolution Remote Sensing Images Open
The existing encoder–decoder model, or encoder–decoder model with atrous convolutions, has exposed its limitations under diverse environments, such as road scales, shadows, building occlusions, and vegetation in high-resolution remote sens…
View article: Adaptive Denoising Algorithm with Considering Terrestrial Slopes for Single-Photon Lidar Point Cloud Data Processing
Adaptive Denoising Algorithm with Considering Terrestrial Slopes for Single-Photon Lidar Point Cloud Data Processing Open
View article: DMEFF-Net: A Dynamic Multi-Scale Enhanced Feature Fusion Model for Small Object Detection in Remote Sensing Images
DMEFF-Net: A Dynamic Multi-Scale Enhanced Feature Fusion Model for Small Object Detection in Remote Sensing Images Open
View article: Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images
Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images Open
Mangroves are one of the important components of Earth's carbon sinks. The current problems of base-model composition strategy of ensemble learning and image features combination are still major challenges in mangrove species classificatio…
View article: Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model
Weighted Differential Gradient Method for Filling Pits in Light Detection and Ranging (LiDAR) Canopy Height Model Open
The canopy height model (CHM) derived from LiDAR point cloud data is usually used to accurately identify the position and the canopy dimension of single tree. However, local invalid values (also called data pits) are often encountered duri…
View article: Autonomous Data Association and Intelligent Information Discovery Based on Multimodal Fusion Technology
Autonomous Data Association and Intelligent Information Discovery Based on Multimodal Fusion Technology Open
The effective association of multimodal data is the basis of massive multi-source heterogeneous data sharing in the era of big data. How to realize data autonomous association between massive multimodal databases and the automatic intellig…
View article: Spatio-Temporal Evolution Monitoring and Analysis of Tidal Flats in Beibu Gulf From 1987 to 2021 Using Multisource Remote Sensing
Spatio-Temporal Evolution Monitoring and Analysis of Tidal Flats in Beibu Gulf From 1987 to 2021 Using Multisource Remote Sensing Open
Tidal flats are an important part of coastal wetland systems and play an irreplaceable role in maintaining the health of global coastal ecosystems, resisting natural coastal disasters, and sequestering blue carbon. For the coastal zone aro…
View article: Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements
Retrieval of chlorophyll content for vegetation communities under different inundation frequencies using UAV images and field measurements Open
Karst wetlands are an important type of wetland among the global karst areas that suffer from serious ecosystem degradation. Chlorophyll content, an important parameter of vegetation functional traits, can indicate the photosynthetic activ…
View article: Performance evaluation of backscattering coefficients and polarimetric decomposition parameters for marsh vegetation mapping using multi-sensor and multi-frequency SAR images
Performance evaluation of backscattering coefficients and polarimetric decomposition parameters for marsh vegetation mapping using multi-sensor and multi-frequency SAR images Open
Wetland vegetation is the basis for wetland ecosystems to regulate climate change, carbon sequestration and maintain biodiversity. Therefore, high-precision mapping and dynamic monitoring of wetland vegetation are essential for the effecti…
View article: Multi-Pedestrian Tracking Based on KC-YOLO Detection and Identity Validity Discrimination Module
Multi-Pedestrian Tracking Based on KC-YOLO Detection and Identity Validity Discrimination Module Open
Multiple-object tracking (MOT) is a fundamental task in computer vision and is widely applied across various domains. However, its algorithms remain somewhat immature in practical applications. To address the challenges presented by comple…
View article: 3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model
3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model Open
Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building. Howev…
View article: EXPLORATION AND APPLICATION OF "1+2+3" TEACHING MODE USING VIRTUAL REALITY ENVIRONMENTS FOR GEOMATICS UNDERGRADUATE STUDENTS
EXPLORATION AND APPLICATION OF "1+2+3" TEACHING MODE USING VIRTUAL REALITY ENVIRONMENTS FOR GEOMATICS UNDERGRADUATE STUDENTS Open
Since the beginning of this century, mapping and geographic information technology has been deeply integrated with virtual reality, artificial intelligence and other technologies, the mapping industry has entered the "intelligent mapping e…
View article: Spatio-Temporal Changes of Mangrove-Covered Tidal Flats over 35 Years Using Satellite Remote Sensing Imageries: A Case Study of Beibu Gulf, China
Spatio-Temporal Changes of Mangrove-Covered Tidal Flats over 35 Years Using Satellite Remote Sensing Imageries: A Case Study of Beibu Gulf, China Open
Tidal flats provide ecosystem services to billions of people worldwide; however, their changing status is largely unknown. Several challenges in the fine extraction of tidal flats using remote sensing techniques, including tide-level and w…
View article: Evaluating optically and non-optically active water quality and its response relationship to hydro-meteorology using multi-source data in Poyang Lake, China
Evaluating optically and non-optically active water quality and its response relationship to hydro-meteorology using multi-source data in Poyang Lake, China Open
Lakes potentially provide sensitive indicators of global climate change, but water pollution seriously affects the lake ecosystem. Therefore, mapping and monitoring water quality of lake has attracted extensive attention from scholars. How…
View article: Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images
Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images Open
Mangrove-forest classification by using deep learning algorithms has attracted increasing attention but remains challenging. The current studies on the transfer classification of mangrove communities between different regions and different…
View article: Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm
Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm Open
Combinations of multi-sensor remote sensing images and machine learning have attracted much attention in recent years due to the spectral similarity of wetland plant canopy. However, the integration of hyperspectral and quad-polarization s…
View article: CHLNET: A novel hybrid 1D CNN-SVR algorithm for estimating ocean surface chlorophyll-a
CHLNET: A novel hybrid 1D CNN-SVR algorithm for estimating ocean surface chlorophyll-a Open
Developing a unified chlorophyll-a (Chla) inversion algorithm for cross-water types is a significant challenge owing to the insufficiency of input features and training samples. Although machine learning algorithms can build a consistent m…
View article: Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images
Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images Open
View article: Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images
Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images Open
The high-precision estimation of mangrove leaf area index (LAI) using a deep learning regression algorithm (DLR) always requires a large amount of training sample data. However, it is difficult for LAI field measurements to collect a suffi…
View article: Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images
Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images Open
Fine classification of wetland vegetation communities using machine learning algorithm and high spatial resolution images have attracted increased attention. However, there exist several challenges in image fusion, data dimension reduction…
View article: Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine
Spatio-temporal coupling coordination analysis between marsh vegetation and hydrology change from 1985 to 2019 using LandTrendr algorithm and Google Earth Engine Open
The interaction between marsh vegetation and hydrology has become one of the hotspots in the field of ecosystem research. Taking the Honghe National Nature Reserve as the study area, this paper integrated the GEE platform and LandTrendr al…
View article: Estimation of mangrove canopy chlorophyll content using hyperspectral image and stacking ensemble regression algorithm
Estimation of mangrove canopy chlorophyll content using hyperspectral image and stacking ensemble regression algorithm Open
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