Search Results - "Liao, Chunhua"

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  1. 1

    Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean by Liao, Chunhua, Wang, Jinfei, Dong, Taifeng, Shang, Jiali, Liu, Jiangui, Song, Yang

    Published in The Science of the total environment (10-02-2019)
    “…The Simple Algorithm for Yield estimates (SAFY) is a crop yield model that simulates crop growth and biomass accumulation at a daily time step. Parameters in…”
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    Journal Article
  2. 2

    Application of polarization signature to land cover scattering mechanism analysis and classification using multi-temporal C-band polarimetric RADARSAT-2 imagery by Huang, Xiaodong, Wang, Jinfei, Shang, Jiali, Liao, Chunhua, Liu, Jiangui

    Published in Remote sensing of environment (01-05-2017)
    “…This paper presents a novel method of multi-temporal land cover classification based on the polarization signature (PS). Additionally, the temporal change of…”
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    Journal Article
  3. 3

    ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery by He, Yongjun, Wang, Jinfei, Liao, Chunhua, Shan, Bo, Zhou, Xin

    Published in Remote sensing (Basel, Switzerland) (01-02-2022)
    “…Inspired by the tremendous success of deep learning (DL) and the increased availability of remote sensing data, DL-based image semantic segmentation has…”
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  4. 4

    Bilateral transformer 3D planar recovery by Ren, Fei, Liao, Chunhua, Xie, Zhina

    Published in Graphical models (01-08-2024)
    “…In recent years, deep learning based methods for single image 3D planar recovery have made significant progress, but most of the research has focused on…”
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  5. 5

    Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data by An, Gangqiang, Xing, Minfeng, He, Binbin, Liao, Chunhua, Huang, Xiaodong, Shang, Jiali, Kang, Haiqi

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…Chlorophyll is an essential pigment for photosynthesis in crops, and leaf chlorophyll content can be used as an indicator for crop growth status and help guide…”
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  6. 6

    Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series by Ye, Junyan, Bao, Wenhao, Liao, Chunhua, Chen, Dairong, Hu, Haoxuan

    Published in Remote sensing (Basel, Switzerland) (01-07-2023)
    “…Accurate determination of crop phenology information is essential for effective field management and decision-making processes. Remote sensing time series…”
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  7. 7

    Effects of sublethal acetamiprid doses on the lifespan and memory-related characteristics of honey bee (Apis mellifera) workers by Shi, Jingliang, Liao, Chunhua, Wang, Zilong, Zeng, Zhijiang, Wu, Xiaobo

    Published in Apidologie (15-08-2019)
    “…Honey bees that leave the hive and collect nectar or pollen from pesticide-treated plants are susceptible to be poisoned. Acetamiprid is a new class of…”
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  8. 8

    Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning by He, Yongjun, Wang, Jinfei, Zhang, Ying, Liao, Chunhua

    “…Timely and accurate mapping of floodwater in urban areas from aerial imagery is critical to support emergency response and rescue work. However, massive…”
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  9. 9

    MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery by He, Yongjun, Wang, Jinfei, Liao, Chunhua, Zhou, Xin, Shan, Bo

    Published in Remote sensing (Basel, Switzerland) (01-01-2023)
    “…In the aftermath of a natural hazard, rapid and accurate building damage assessment from remote sensing imagery is crucial for disaster response and rescue…”
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  10. 10

    A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions by Liao, Chunhua, Wang, Jinfei, Pritchard, Ian, Liu, Jiangui, Shang, Jiali

    Published in Remote sensing (Basel, Switzerland) (01-11-2017)
    “…Time series vegetation indices with high spatial resolution and high temporal frequency are important for crop growth monitoring and management. However, due…”
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  11. 11

    Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat by Song, Yang, Wang, Jinfei, Shang, Jiali, Liao, Chunhua

    Published in Remote sensing (Basel, Switzerland) (01-08-2020)
    “…Knowledge of sub-field yield potential is critical for guiding precision farming. The recently developed simulated observation of point cloud (SOPC) method can…”
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  12. 12

    Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen under Rapid Urbanization Based on MT-InSAR by Sun, Min, Du, Yanan, Liu, Qingyao, Feng, Guangcai, Peng, Xing, Liao, Chunhua

    “…Land subsidence is a common geological hazard in urban areas. It can be caused by human activities such as land reclamation and subway construction. However,…”
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  13. 13

    The oncoprotein MUC1 facilitates breast cancer progression by promoting Pink1-dependent mitophagy via ATAD3A destabilization by Li, Quanfu, Chu, Yunkai, Li, Shengze, Yu, Liping, Deng, Huayun, Liao, Chunhua, Liao, Xiaodong, Yang, Chihyu, Qi, Min, Cheng, Jinke, Chen, Guoqiang, Huang, Lei

    Published in Cell death & disease (26-10-2022)
    “…Mitophagy is a vital process that controls mitochondria quality, dysregulation of which can promote cancer. Oncoprotein mucin 1 (MUC1) targets mitochondria to…”
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  14. 14

    Contribution of Minimum Noise Fraction Transformation of Multi-temporal RADARSAT-2 Polarimetric SAR Data to Cropland Classification by Chunhua Liao, Jinfei Wang, Xiaodong Huang, Jiali Shang

    Published in Canadian journal of remote sensing (04-05-2018)
    “…Agriculture is an important sector in Canada, and annual crop inventories are required in many agricultural applications. Multi-temporal polarimetric synthetic…”
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  15. 15

    On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data by Xie, Qinghua, Wang, Jinfei, Liao, Chunhua, Shang, Jiali, Lopez-Sanchez, Juan, Fu, Haiqiang, Liu, Xiuguo

    Published in Remote sensing (Basel, Switzerland) (01-04-2019)
    “…In previous studies, parameters derived from polarimetric target decompositions have proven as very effective features for crop classification with…”
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  16. 16

    The effects of combined high-frequency repetitive transcranial magnetic stimulation and cervical nerve root magnetic stimulation on upper extremity motor recovery following stroke by Wu, Xiaofang, Wang, Rui, Wu, Qunqiang, Liao, Chunhua, Zhang, Jianshe, Jiao, Huiduo, Chen, Baolin, Wang, Shuyan, Liu, Rui

    Published in Frontiers in neuroscience (07-02-2023)
    “…Upper limb motor impairments after stroke cause patients partial or total loss of the capability of performing daily living, working, and social activities,…”
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  17. 17

    Crop Monitoring and Classification Using Polarimetric RADARSAT-2 Time-Series Data Across Growing Season: A Case Study in Southwestern Ontario, Canada by Xie, Qinghua, Lai, Kunyu, Wang, Jinfei, Lopez-Sanchez, Juan M., Shang, Jiali, Liao, Chunhua, Zhu, Jianjun, Fu, Haiqiang, Peng, Xing

    Published in Remote sensing (Basel, Switzerland) (01-04-2021)
    “…Multitemporal polarimetric synthetic aperture radar (PolSAR) has proven as a very effective technique in agricultural monitoring and crop classification. This…”
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  18. 18

    Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning by Xie, Qinghua, Wang, Jinfei, Lopez-Sanchez, Juan, Peng, Xing, Liao, Chunhua, Shang, Jiali, Zhu, Jianjun, Fu, Haiqiang, Ballester-Berman, J.

    Published in Remote sensing (Basel, Switzerland) (01-02-2021)
    “…This study presents a demonstration of the applicability of machine learning techniques for the retrieval of crop height in corn fields using space-borne…”
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  19. 19

    A New Model for Transfer Learning-Based Mapping of Burn Severity by Zheng, Zhong, Wang, Jinfei, Shan, Bo, He, Yongjun, Liao, Chunhua, Gao, Yanghua, Yang, Shiqi

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…In recent years, global forest fires have occurred more frequently, seriously destroying the structural functions of forest ecosystem. Mapping the burn…”
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  20. 20

    Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data by An, Gangqiang, Xing, Minfeng, He, Binbin, Kang, Haiqi, Shang, Jiali, Liao, Chunhua, Huang, Xiaodong, Zhang, Hongguo

    Published in Remote sensing (Basel, Switzerland) (01-08-2021)
    “…Rice false smut (RFS), caused by Ustilaginoidea virens, is a significant grain disease in rice that can lead to reduced yield and quality. In order to obtain…”
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