Jinbao Jiang

发表

[Using hyperspectral derivative index to monitor winter wheat disease].

Wenjiang Huang, Jinbao Jiang, Yun-hao Chen, 2007, Guang pu xue yu guang pu fen xi = Guang pu.

Identification of plants responding to CO2 leakage stress using band depth and the full width at half maxima of canopy spectra

M. Steven, Peijun Du, Jinbao Jiang, 2016 .

Identifying the spectral responses of several plant species under CO2 leakage and waterlogging stresses

M. Steven, Peijun Du, Jinbao Jiang, 2015 .

Moldy Peanut Kernel Identification Using Wavelet Spectral Features Extracted from Hyperspectral Images

Jinbao Jiang, X. Qi, X. Cui, 2019, Food Analytical Methods.

Coordination Study on Ecological and Economic Coupling of the Yellow River Basin

J. Zhai, P. Hou, Jinbao Jiang, 2021, International journal of environmental research and public health.

Identifying plants under natural gas micro-leakage stress using hyperspectral remote sensing

Jinbao Jiang, Yiming Xiao, Xiaoquan Pan, 2021, Ecol. Informatics.

Moldy peanuts identification based on hyperspectral images and Point-centered convolutional neural network combined with embedded feature selection

Jinbao Jiang, Deshuai Yuan, Ziqiang Gong, 2022, Comput. Electron. Agric..

GRACE satellite monitoring and driving factors analysis of groundwater storage under high-intensity coal mining conditions: a case study of Ordos, northern Shaanxi and Shanxi, China

T. Lei, Jinbao Jiang, Xuhui Chen, 2020, Hydrogeology Journal.

Identification of vegetation under natural gas leakage by spectral index based on feature selection

Jinbao Jiang, Yingyang Pan, Ziwei Liu, 2022, International Journal of Remote Sensing.

An application to analyzing and correcting for the effects of irregular topographies on NIR hyperspectral images to improve identification of moldy peanuts

Jinbao Jiang, X. Qi, Deshuai Yuan, 2020 .

A modified vegetation backscattering model for leaf area index retrieval from SAR time series

Jinbao Jiang, Liangliang Tao, Jing Li, 2016 .

A spectral-spatial approach for detection of single-point natural gas leakage using hyperspectral imaging

Jinbao Jiang, Yingyang Pan, Kangni Xiong, 2020 .

Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images

Jinbao Jiang, Xuhui Chen, Yingyang Pan, 2022, Sensors.

A method for detecting underground natural gas pipeline micro-leakage in vegetated areas using high spatial resolution hyperspectral imagery

Jinbao Jiang, Deshuai Yuan, Xiaoquan Pan, 2023, Gas Science and Engineering.

Identification of fungi-contaminated peanuts using hyperspectral imaging technology and joint sparse representation model

Ximin Cui, Deshuai Yuan, Jinbao Jiang, 2019, Journal of Food Science and Technology.

Spectral responses and identification of surface vegetation stressed by natural gas leakage

Jinbao Jiang, Deshuai Yuan, Yingyang Pan, 2020, International Journal of Remote Sensing.

Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations

Yufang Jin, Jinbao Jiang, Ruyan He, 2017, Remote. Sens..

Using convolution neural network and hyperspectral image to identify moldy peanut kernels

Ziwei Liu, Xiaojun Qiao, Yingyang Pan, 2020 .

Utilization of spectral-spatial characteristics in shortwave infrared hyperspectral images to classify and identify fungi-contaminated peanuts.

Xiaojun Qiao, Deshuai Yuan, Xiaotong Qi, 2017, Food chemistry.

Identification of plants responding to natural gas microleakage stress using solar-induced chlorophyll fluorescence

Xiaojun Qiao, Wenjia Wang, Deshuai Yuan, 2019, Journal of Applied Remote Sensing.

Using wavelet analysis of hyperspectral remote-sensing data to estimate canopy chlorophyll content of winter wheat under stripe rust stress

Xiaojun Qiao, Ruyan He, Hui Li, 2018 .

Selecting key wavelengths of hyperspectral imagine for nondestructive classification of moldy peanuts using ensemble classifier

Jinbao Jiang, X. Qi, Deshuai Yuan, 2020 .

Use of Near-Infrared hyperspectral images to identify moldy peanuts

Xiaojun Qiao, Ruyan He, Jinbao Jiang, 2016 .

A Band Influence Algorithm for Hyperspectral Band Selection to Classify Moldy Peanuts

Jinbao Jiang, Ying Du, Ziwei Liu, 2021, IEEE Access.

Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data

Hui Li, Xuhui Chen, Jinbao Jiang, 2018, Remote. Sens..

Spatial–temporal variation analysis of water storage and its impacts on ecology and environment in high‐intensity coal mining areas

Jinbao Jiang, Xuhui Chen, Zijian Yu, 2022, Land Degradation & Development.

Ecosystem Health Assessment of Shennongjia National Park, China

J. Zhai, P. Hou, Jinbao Jiang, 2020 .

Evaluation of radar backscattering models using L- and C-band synthetic aperture radar data

Jing Li, Xi Chen, Shi He, 2015 .

Spectral analysis and information extraction of crop disease by multi-temporal hyperspectral images

Yunhao Chen, Da-zhi Guo, Ke-ming Yang, 2006, Geoinformatics.

High-Spatial-Resolution NDVI Reconstruction with GA-ANN

Jinbao Jiang, Yan Chen, Jun Zhai, 2023, Sensors.

[Using canopy hyperspectral ratio index to retrieve relative water content of wheat under yellow rust stress].

Wenjiang Huang, Jinbao Jiang, Yun-Hao Chen, 2010, Guang pu xue yu guang pu fen xi = Guang pu.

Identification of Moldy Peanuts under Different Varieties and Moisture Content Using Hyperspectral Imaging and Data Augmentation Technologies

Jinbao Jiang, Deshuai Yuan, Cheng Nie, 2022, Foods.

A multi-temporal method for detection of underground natural gas leakage using hyperspectral imaging

Jinbao Jiang, Xinda Wang, Ziwei Liu, 2022, International Journal of Greenhouse Gas Control.