Zhenshi Zhang
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View article: The evaluation method for the coordinated development of photovoltaic generation systems and ecological environment in Qinghai-Tibet Plateau area
The evaluation method for the coordinated development of photovoltaic generation systems and ecological environment in Qinghai-Tibet Plateau area Open
The Qinghai-Tibet Plateau’s Gobi region is rich in solar energy resources, offering tremendous potential for utilization. Considering the fragile and highly sensitive ecosystem of this area, an evaluation method has been proposed to assess…
View article: Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples
Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples Open
Traditional multimodal contrastive learning brings text and its corresponding image closer together as a positive pair, where the text typically consists of fixed sentence structures or specific descriptive statements, and the image featur…
View article: High-Resolution Remotely Sensed Evidence Shows Solar Thermal Power Plant Increases Grassland Growth on the Tibetan Plateau
High-Resolution Remotely Sensed Evidence Shows Solar Thermal Power Plant Increases Grassland Growth on the Tibetan Plateau Open
Solar energy plays a crucial role in mitigating greenhouse gas emissions in the context of global climate change. However, its deployment for green electricity generation can significantly influence regional climate and vegetation dynamics…
View article: Road Extraction Method of Remote Sensing Image Based on Deformable Attention Transformer
Road Extraction Method of Remote Sensing Image Based on Deformable Attention Transformer Open
Road extraction is a typical task in the semantic segmentation of remote sensing images, and one of the most efficient techniques for solving this task in recent years is the vision transformer technique. However, roads typically exhibit f…
View article: CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation
CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation Open
The self-supervised learning (SSL) technique, driven by massive unlabeled data, is expected to be a promising solution for semantic segmentation of remote sensing images (RSIs) with limited labeled data, revolutionizing transfer learning. …
View article: A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection
A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection Open
In synthetic aperture radar (SAR) imaging, intelligent object detection methods are facing significant challenges in terms of model robustness and application security, which are posed by adversarial examples. The existing adversarial exam…
View article: Ecological Risk Assessment and SpatialDistribution of Heavy Metal in an AbandonedMining Area, a Case Study of Liaoyang PyriteMining Area in China: Implicationsfor the Environmental Remediationof Mine Sites
Ecological Risk Assessment and SpatialDistribution of Heavy Metal in an AbandonedMining Area, a Case Study of Liaoyang PyriteMining Area in China: Implicationsfor the Environmental Remediationof Mine Sites Open
An important hidden source of soil heavy metal pollution was the discharge of wastewater and waste rock during mining production activities.Numerous processes could result in the buildup of heavy metals in soil, and exposure to these metal…
View article: Target Identification via Multi-View Multi-Task Joint Sparse Representation
Target Identification via Multi-View Multi-Task Joint Sparse Representation Open
Recently, the monitoring efficiency and accuracy of visible and infrared video have been relatively low. In this paper, we propose an automatic target identification method using surveillance video, which provides an effective solution for…
View article: High-Order Topology-Enhanced Graph Convolutional Networks for Dynamic Graphs
High-Order Topology-Enhanced Graph Convolutional Networks for Dynamic Graphs Open
Understanding the evolutionary mechanisms of dynamic graphs is crucial since dynamic is a basic characteristic of real-world networks. The challenges of modeling dynamic graphs are as follows: (1) Real-world dynamics are frequently charact…
View article: A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation
A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation Open
With the rapid development of remote sensing technology and the growing demand for applications, the classical deep learning-based object detection model is bottlenecked in processing incremental data, especially in the increasing classes …
View article: An image-processing-based technique for detecting quantitative fluorescence in plant cells
An image-processing-based technique for detecting quantitative fluorescence in plant cells Open
Biologists can now solve complex environmental problems by fabricate practical plant organisms, difficulties related to characterisation of cellular architectures of plant cells are often encountered which constrained the application of pl…
View article: A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol
A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol Open
Unmanned aerial vehicles are becoming promising platforms for disaster relief, such as providing emergency communication services in wireless sensor networks, delivering some living supplies, and mapping for disaster recovery. Dynamic task…
View article: RAISE: Rank-Aware Incremental Learning for Remote Sensing Object Detection
RAISE: Rank-Aware Incremental Learning for Remote Sensing Object Detection Open
The deep learning method is widely used in remote sensing object detection on the premise that the training data have complete features. However, when data with a fixed class are added continuously, the trained detector is less able to ada…
View article: Cadmium Stabilization and Redox Transformation Mechanism in Maize Using Nanoscale Zerovalent-Iron-Enriched Biochar in Cadmium-Contaminated Soil
Cadmium Stabilization and Redox Transformation Mechanism in Maize Using Nanoscale Zerovalent-Iron-Enriched Biochar in Cadmium-Contaminated Soil Open
Cadmium (Cd) is a readily available metal in the soil matrix, which obnoxiously affects plants and microbiota; thus, its removal has become a global concern. For this purpose, a multifunctional nanoscale zerovalent—iron enriched biochar (n…
View article: Nanobiochar and <i>Bacillus cereus</i> Reduce Antibiotic Resistance Gene Abundances in Lettuce and Cu-Contaminated Soil by Altering Plant Endophytes and Rhizosphere Microorganisms
Nanobiochar and <i>Bacillus cereus</i> Reduce Antibiotic Resistance Gene Abundances in Lettuce and Cu-Contaminated Soil by Altering Plant Endophytes and Rhizosphere Microorganisms Open
View article: Mechanism That Allows Manno-Oligosaccharide To Promote Cellulose Degradation By Microbes And Composting of Cow Manure With Straw
Mechanism That Allows Manno-Oligosaccharide To Promote Cellulose Degradation By Microbes And Composting of Cow Manure With Straw Open
New sugar source, manno-oligosaccharide, can regulate the structure of microbes. The effects of adding manno-oligosaccharide at four different levels (0, 0.1%, 0.5%, and 1% w/w compost) to cow manure–straw compost on the composting process…
View article: EVALUATION OF WIND EROSION CONTROL PRACTICES AT A PHOTOVOLTAIC POWER STATION WITHIN A SANDY AREA OF NORTHWEST, CHINA
EVALUATION OF WIND EROSION CONTROL PRACTICES AT A PHOTOVOLTAIC POWER STATION WITHIN A SANDY AREA OF NORTHWEST, CHINA Open
The widespread construction of photovoltaic (PV) power stations within northwest China poses an environmental threat because of severe wind erosion and land degradation attributed to unique wind control issues caused by the power stations.…
View article: A Novel Image Mosaic Method for Strip-Type Paper Fragments
A Novel Image Mosaic Method for Strip-Type Paper Fragments Open
Paper fragment mosaic is one of the applications of Image Mosaic, which plays an important role for Historical Document Re.Based on a series of modeling ideas, we propose a novel method to mosaic strip-type paper fragments In this paper.Fi…
View article: A Quantitative Mechanism Based on Environmental Compensation for Trash Incineration
A Quantitative Mechanism Based on Environmental Compensation for Trash Incineration Open
A trash incineration would pollute the around environment, and the citizen lived there should get compensation.In this paper, we design a pollution inspection model based on the Gaussian Diffusion Model and weather conditions.With the help…