User profiles for Quanlong Feng
 | Quanlong FengChina Agricultural University Verified email at cau.edu.cn Cited by 2446 |
[HTML][HTML] UAV remote sensing for urban vegetation mapping using random forest and texture analysis
Q Feng, J Liu, J Gong - Remote sensing, 2015 - mdpi.com
… As the first author, Quanlong Feng proposed the main structure of this study, and contributed
to experiments, data analysis and manuscript writing. Jiantao Liu contributed to UAV data …
to experiments, data analysis and manuscript writing. Jiantao Liu contributed to UAV data …
Urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier—A case of Yuyao, China
Q Feng, J Liu, J Gong - Water, 2015 - mdpi.com
… Quanlong Feng proposed the main structure of this study and contributed to experiments,
data analysis and manuscript writing. Jiantao Liu contributed to UAV data preprocessing, map …
data analysis and manuscript writing. Jiantao Liu contributed to UAV data preprocessing, map …
Integrating multitemporal Sentinel-1/2 data for coastal land cover classification using a multibranch convolutional neural network: A case of the Yellow River Delta
Coastal land cover classification is a significant yet challenging task in remote sensing
because of the complex and fragmented nature of coastal landscapes. However, availability of …
because of the complex and fragmented nature of coastal landscapes. However, availability of …
Winter wheat yield prediction at county level and uncertainty analysis in main wheat-producing regions of China with deep learning approaches
Timely and accurate forecasting of crop yields is crucial to food security and sustainable
development in the agricultural sector. However, winter wheat yield estimation and forecasting …
development in the agricultural sector. However, winter wheat yield estimation and forecasting …
Multisource hyperspectral and LiDAR data fusion for urban land-use mapping based on a modified two-branch convolutional neural network
Accurate urban land-use mapping is a challenging task in the remote-sensing field. With the
availability of diverse remote sensors, synthetic use and integration of multisource data …
availability of diverse remote sensors, synthetic use and integration of multisource data …
[HTML][HTML] Multi-modal fusion of satellite and street-view images for urban village classification based on a dual-branch deep neural network
With the rapid urbanization process in China, numerous urban villages have been appeared,
which are surrounded by the newly-built urban blocks. Due to the high population density, …
which are surrounded by the newly-built urban blocks. Due to the high population density, …
Modality fusion vision transformer for hyperspectral and LiDAR data collaborative classification
In recent years, collaborative classification of multimodal data, eg, hyperspectral image (HSI)
and light detection and ranging (LiDAR), has been widely used to improve remote sensing …
and light detection and ranging (LiDAR), has been widely used to improve remote sensing …
HSI-TransUNet: A transformer based semantic segmentation model for crop mapping from UAV hyperspectral imagery
UAV hyperspectral imagery (HSI) has the unique merits of both a very high spatial and
spectral resolution, which provides a high-quality data source for automatic crop mapping. …
spectral resolution, which provides a high-quality data source for automatic crop mapping. …
Large-scale crop mapping based on machine learning and parallel computation with grids
N Yang, D Liu, Q Feng, Q Xiong, L Zhang, T Ren… - Remote Sensing, 2019 - mdpi.com
Large-scale crop mapping provides important information in agricultural applications. However,
it is a challenging task due to the inconsistent availability of remote sensing data caused …
it is a challenging task due to the inconsistent availability of remote sensing data caused …
Multi-temporal unmanned aerial vehicle remote sensing for vegetable mapping using an attention-based recurrent convolutional neural network
Vegetable mapping from remote sensing imagery is important for precision agricultural
activities such as automated pesticide spraying. Multi-temporal unmanned aerial vehicle (UAV) …
activities such as automated pesticide spraying. Multi-temporal unmanned aerial vehicle (UAV) …