LodgeNet: Improved rice lodging recognition using semantic segmentation of UAV high-resolution remote sensing images

An improved U-Net method for the semantic segmentation of remote sensing images

(2021) Zhongbin Su et al.   APPLIED INTELLIGENCE

Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

(2020) Hengbiao Zheng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

(2020) Foivos I. Diakogiannis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Building Extraction Based on U-Net with an Attention Block and Multiple Losses

(2020) Mingqiang Guo et al.   Remote Sensing

Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network

(2020) Dongyan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging

(2020) Zhishuang Song et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Scene Segmentation With Dual Relation-Aware Attention Network

(2020) Jun Fu et al.   IEEE Transactions on Neural Networks and Learning Systems

Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach

(2019) Norman Wilke et al.   Remote Sensing

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

(2019) Yaning Yi et al.   Remote Sensing

Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

(2018) Tao Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Road Extraction by Deep Residual U-Net

(2018) Zhengxin Zhang et al.   IEEE Geoscience and Remote Sensing Letters

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions

(2018) Duc My Vo et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation

(2018) Liang Han et al.   Remote Sensing

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

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

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

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery

(2017) Ming-Der Yang et al.   Remote Sensing

Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

(2017) Tianxing Chu et al.   Remote Sensing

Gibberellin Deficiency Confers Both Lodging and Drought Tolerance in Small Cereals

(2016) Sonia Plaza-Wüthrich et al.   Frontiers in Plant Science