Jiale Jiang
Orcid: 0000-0002-2214-7009
According to our database1,
Jiale Jiang
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Internet Things J., June, 2024
Comput. Methods Programs Biomed., 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023
A Single-Anchor Visible Light Positioning System Based on Fingerprinting and Deep Learning.
Proceedings of the 3rd International Conference on Artificial Intelligence, 2023
2022
MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs.
Remote. Sens., 2022
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm.
Artif. Intell. Medicine, 2022
2021
Combining Nadir, Oblique, and Façade Imagery Enhances Reconstruction of Rock Formations Using Unmanned Aerial Vehicles.
IEEE Trans. Geosci. Remote. Sens., 2021
Estimating the Leaf Nitrogen Content with a New Feature Extracted from the Ultra-High Spectral and Spatial Resolution Images in Wheat.
Remote. Sens., 2021
2020
HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
2019
Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring.
Sensors, 2019
Generating Red-Edge Images at 3 M Spatial Resolution by Fusing Sentinel-2 and Planet Satellite Products.
Remote. Sens., 2019
Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat.
Remote. Sens., 2019
2018
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.
Remote. Sens., 2018
Evaluation of One-Class Support Vector Classification for Mapping the Paddy Rice Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery.
Remote. Sens., 2018
Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index.
Remote. Sens., 2018
Detecting Rice Blast Disease Using Model Inverted Biochemical Variables from Close-Range Reflectance Imagery of Fresh Leaves.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2016
Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model.
Sensors, 2016
2015
The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet-Fractal Technique.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm.
Comput. Geosci., 2015
An improved BP neural network model for estimating Cd stress in rice using remote sensing data.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2014