HSI-TransUNet: A transformer based semantic segmentation model for crop mapping from UAV hyperspectral imagery

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

Multi-Temporal Unmanned Aerial Vehicle Remote Sensing for Vegetable Mapping Using an Attention-Based Recurrent Convolutional Neural Network

(2020) Quanlong Feng et al.   Remote Sensing

Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network

(2019) Quanlong Feng et al.   ISPRS International Journal of Geo-Information

Spatial–Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery

(2019) Lifei Wei et al.   Remote Sensing

Spectral-Spatial Attention Networks for Hyperspectral Image Classification

(2019) Xiaoguang Mei et al.   Remote Sensing

DeepLab-Based Spatial Feature Extraction for Hyperspectral Image Classification

(2018) Zijia Niu et al.   IEEE Geoscience and Remote Sensing Letters

Deep Recurrent Neural Networks for Hyperspectral Image Classification

(2017) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier—A Case of Yuyao, China

(2015) Quanlong Feng et al.   Water

Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

(2012) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT