Jinbao Jiang

According to our database, Jinbao Jiang authored at least 16 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Multi-Scale Graph Based on Spatio-Temporal-Radiometric Interaction for SAR Image Change Detection.

Peijing Zhang, Jinbao Jiang, Peng Kou, Shining Wang, Bin Wang

Remote. Sens., February, 2024

GAN-Based Sub-Instance Augmentation for Open-Pit Mine Change Detection in Remote Sensing Images.

Zilin Xie, Jinbao Jiang, Deshuai Yuan, Kangning Li, Ziwei Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Underground Natural Gas Microleakage Detection With Hyperspectral Imagery Based on Temporal Features and Ensemble Learning.

Jinbao Jiang, Yingyang Pan, Kangning Li, Xinda Wang, Wenxuan Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

An Integrated Neighborhood and Scale Information Network for Open-Pit Mine Change Detection in High-Resolution Remote Sensing Images.

Zilin Xie, Kangning Li, Jinbao Jiang, Jinzhong Yang, Xiaojun Qiao, Deshuai Yuan, Cheng Nie

CoRR, 2024

2023

Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass.

Qiyu Guo, Shouhang Du, Jinbao Jiang, Wei Guo, Hengqian Zhao, Xuzhe Yan, Yinpeng Zhao, Wanshan Xiao

Ecol. Informatics, December, 2023

High-Spatial-Resolution NDVI Reconstruction with GA-ANN.

Yanhong Zhao, Peng Hou, Jinbao Jiang, Jiajun Zhao, Yan Chen, Jun Zhai

Sensors, February, 2023

2022

Combining a Crop Growth Model With CNN for Underground Natural Gas Leakage Detection Using Hyperspectral Imagery.

Ying Du, Jinbao Jiang, Ziwei Liu, Yingyang Pan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

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

Kangni Xiong, Jinbao Jiang, Yingyang Pan, Yande Yang, Xuhui Chen, Zijian Yu

Sensors, 2022

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

Xiaoquan Pan, Jinbao Jiang, Yiming Xiao

Ecol. Informatics, 2022

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

Deshuai Yuan, Jinbao Jiang, Ziqiang Gong, Cheng Nie, Yilin Sun

Comput. Electron. Agric., 2022

2021

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

Ziwei Liu, Jinbao Jiang, Ying Du, Zhifang Xu

IEEE Access, 2021

2018

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

Xuhui Chen, Jinbao Jiang, Hui Li

Remote. Sens., 2018

2017

Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations.

Ruyan He, Yufang Jin, Maziar M. Kandelous, Daniele Zaccaria, Blake L. Sanden, Richard L. Snyder, Jinbao Jiang, Jan W. Hopmans

Remote. Sens., 2017

2016

Leaf Area Index Inversion of Winter Wheat Using Modified Water-Cloud Model.

Liangliang Tao, Jing Li, Jinbao Jiang, Xi Chen

IEEE Geosci. Remote. Sens. Lett., 2016

2007

Study on inversion models for the severity of winter wheat stripe rust using hyperspectral remote sensing.

Jinbao Jiang, Yunhao Chen, Adu Gong, Jing Li

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Analysis of hyperspectral characters of winter wheat under different nitrogen and water stress.

Yunhao Chen, Jinbao Jiang, Guifei Jing, Jing Li

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007