Zhibin Sun
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View article: An Integrated Path Planning and Tracking Framework Based on Adaptive Heuristic JPS and B-Spline Optimization
An Integrated Path Planning and Tracking Framework Based on Adaptive Heuristic JPS and B-Spline Optimization Open
In this paper, we propose a navigation synthesis method for indoor mobile robots based on the Improved Jumping Point Search (JPS) framework. Although traditional JPS has high search efficiency, it often leads to excessive node expansion an…
View article: Surfactin: a novel Aphis gossypii killing surfactin produced by Bacillus australimaris TRM82479 of Taklamakan Desert origin
Surfactin: a novel Aphis gossypii killing surfactin produced by Bacillus australimaris TRM82479 of Taklamakan Desert origin Open
Introduction The cotton aphid Aphis gossypii poses a global, serious threat to cotton yield and quality. Although chemical pesticides are effective, pollution and resistance are increasingly prominent, making development of new biopesticid…
View article: A Novel <em>Aphis gossypii </em>Killing Surfactin Produced by <em>Bacillus australimaris </em>TRM82479 of Taklamakan Desert Origin
A Novel <em>Aphis gossypii </em>Killing Surfactin Produced by <em>Bacillus australimaris </em>TRM82479 of Taklamakan Desert Origin Open
The cotton aphid Aphis gossypii poses a global, serious threat to cotton yield and quality. Although chemical pesticides are effective, pollution and resistance are increasingly prominent, making development of new biopesticides a priority…
View article: A Fast Crashworthiness Assessment Framework: Sectional Force-Guided Multi-Stage Physics Informed Surrogate Model
A Fast Crashworthiness Assessment Framework: Sectional Force-Guided Multi-Stage Physics Informed Surrogate Model Open
View article: Key Problems and Countermeasures of End Effector of Fruit and Vegetable Picking Robot
Key Problems and Countermeasures of End Effector of Fruit and Vegetable Picking Robot Open
With the development of agricultural science and technology and the improvement of labor cost, fruit and vegetable picking robots have gradually become a research hotspot in the field of agricultural mechanization. As a key component of fr…
View article: Using a Two-Stage Hybrid Dimensionality Reduction Method on Hyperspectral Data to Predict Chlorophyll Content of Camellia oleifera
Using a Two-Stage Hybrid Dimensionality Reduction Method on Hyperspectral Data to Predict Chlorophyll Content of Camellia oleifera Open
Camellia oleifera is an oilseed crop that holds significant economic, ecological, and social value. In the realm of Camellia oleifera cultivation, utilizing hyperspectral analysis techniques to estimate chlorophyll content can enhance our …
View article: Calibration and Modelling of Vegetation Structure Parameter B for L-Meb Models Over Agricultural Sites
Calibration and Modelling of Vegetation Structure Parameter B for L-Meb Models Over Agricultural Sites Open
View article: Calibration and Modelling of Vegetation Structure Parameter B for L-Meb Models Over Agricultural Sites
Calibration and Modelling of Vegetation Structure Parameter B for L-Meb Models Over Agricultural Sites Open
View article: Kalman Filter and Its Application in Data Assimilation
Kalman Filter and Its Application in Data Assimilation Open
In 1960, R.E. Kalman published his famous paper describing a recursive solution, the Kalman filter, to the discrete-data linear filtering problem. In the following decades, thanks to the continuous progress of numerical computing, as well …
View article: Identifying Core Wavelengths of Oil Tree’s Hyperspectral Data by Taylor Expansion
Identifying Core Wavelengths of Oil Tree’s Hyperspectral Data by Taylor Expansion Open
The interference of background noise leads to the extremely high spatial complexity of hyperspectral data. Sensitive band selecting is an important task to minimize or eliminate the influence of non-target elements. In this study, Taylor e…
View article: Using local and regional trait hypervolumes to study the effects of environmental factors on community assembly
Using local and regional trait hypervolumes to study the effects of environmental factors on community assembly Open
Determining how local and environmental conditions affect community assembly processes is critical to understanding and preserving ecosystem functions. A combination of plant traits is required to capture the broad spectrum of strategies t…
View article: Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence Open
View article: Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics
Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics Open
Forest is the largest vegetation carbon pool in the global terrestrial ecosystem. The spatial distribution and change of forest biomass are of importance to reveal the surface spatial variation and driving factors, to analyze and evaluate …
View article: OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO <sub>2</sub> ratio
OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO <sub>2</sub> ratio Open
In recent years, satellite remote sensing has been increasingly used in the long-term observation of ozone (O3) precursors and its formation regime. In this work, formaldehyde (HCHO) data from Ozone Monitoring Instrument (OMI) were used to…
View article: Failure Detection in Eucalyptus Plantation Based on UAV Images
Failure Detection in Eucalyptus Plantation Based on UAV Images Open
The information of the locations and numbers of failures is crucial to precise management of new afforestation, especially during seedling replanting in young forests. In practice, foresters are more accustomed to determining the locations…
View article: Comment on acp-2020-1298
Comment on acp-2020-1298 Open
Abstract. In recent years, satellite remote sensing has been increasingly used in the long-term observation of ozone (O3) precursors and its formation regime. In this work, formaldehyde (HCHO) data …
View article: Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring
Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring Open
Current multimodal learning in smart feature extraction and classification has reshaped the landscape of remote sensing. The recent developments in smart feature extraction mainly rely on different machine learning and data mining algorith…
View article: Missing Pixel Reconstruction on Landsat 8 Analysis Ready Data Land Surface Temperature Image Patches Using Source-Augmented Partial Convolution
Missing Pixel Reconstruction on Landsat 8 Analysis Ready Data Land Surface Temperature Image Patches Using Source-Augmented Partial Convolution Open
Missing pixels is a common issue in satellite images. Taking Landsat 8 Analysis Ready Data (ARD) Land Surface Temperature (LST) image as an example, the Source-Augmented Partial Convolution v2 model (SAPC2) is developed to reconstruct miss…
View article: Impacts of geographic factors and population density on the COVID-19 spreading under the lockdown policies of China
Impacts of geographic factors and population density on the COVID-19 spreading under the lockdown policies of China Open
View article: Improving the mean and uncertainty of ultraviolet multi-filter rotating shadowband radiometer in situ calibration factors: utilizing Gaussian process regression with a new method to estimate dynamic input uncertainty
Improving the mean and uncertainty of ultraviolet multi-filter rotating shadowband radiometer in situ calibration factors: utilizing Gaussian process regression with a new method to estimate dynamic input uncertainty Open
To recover the actual responsivity for the Ultraviolet Multi-Filter Rotating Shadowband Radiometer (UV-MFRSR), the complex (e.g., unstable, noisy, and with gaps) time series of its in situ calibration factors (V0) need to be smoothed. Many…
View article: Retrieving temperature and relative humidity profiles from hyperspectral radiations via deep learning
Retrieving temperature and relative humidity profiles from hyperspectral radiations via deep learning Open
Atmospheric temperature and relative humidity profiles are fundamental for atmospheric research such as numerical weather prediction and climate change assessment. Hyperspectral satellite data contain a wealth of relevant information and h…
View article: Improving the Mean and Uncertainty of Ultraviolet Multi-Filter Rotating Shadowband Radiometer In-Situ Calibration Factors: Utilizing Gaussian Process Regression with a New Method to Estimate Dynamic Input Uncertainty
Improving the Mean and Uncertainty of Ultraviolet Multi-Filter Rotating Shadowband Radiometer In-Situ Calibration Factors: Utilizing Gaussian Process Regression with a New Method to Estimate Dynamic Input Uncertainty Open
To recover the actual responsivity for Ultraviolet Multi-Filter Rotating Shadowband Radiometer (UV-MFRSR), the complex (e.g. unstable, noisy, and with gaps) time series of its in-situ calibration factors (Vo) need to be smoothed. Many smoo…
View article: Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation
Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation Open
View article: An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation
An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation Open
Geomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide …