Using Open Vector-Based Spatial Data to Create Semantic Datasets for Building Segmentation for Raster Data

Building extraction from remote sensing images using deep residual U-Net

(2022) Haiying Wang et al.   European Journal of Remote Sensing

Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment

(2021) Ananya Gupta et al.   NEUROCOMPUTING

Road extraction from satellite and aerial image using SE-Unet

(2021) Reza Akbari Dotappeh Sofla et al.   Journal of Applied Remote Sensing

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

(2021) Ziyi Chen et al.   Remote Sensing

Open Data and Deep Semantic Segmentation for Automated Extraction of Building Footprints

(2021) Samir Touzani et al.   Remote Sensing

Semantic Segmentation for Remote Sensing Images Based on Adaptive Feature Selection Network

(2021) Shao Xiang et al.   IEEE Geoscience and Remote Sensing Letters

A deep residual learning serial segmentation network for extracting buildings from remote sensing imagery

(2020) Jiayun Liu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hybrid first and second order attention Unet for building segmentation in remote sensing images

(2020) Nanjun He et al.   Science China-Information Sciences

Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net

(2020) Massimiliano Gargiulo et al.   SENSORS

Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net

(2020) Zhuokun Pan et al.   Remote Sensing

Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data

(2020) Alessandro Farasin et al.   Applied Sciences-Basel

State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images

(2020) Muhammad Yaqub et al.   Brain Sciences

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

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

An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images

(2020) Abolfazl Abdollahi et al.   Geocarto International

Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss

(2019) Hao He et al.   Remote Sensing

Building Footprint Extraction from High-Resolution Images via Spatial Residual Inception Convolutional Neural Network

(2019) Penghua Liu et al.   Remote Sensing

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

(2019) Yaning Yi et al.   Remote Sensing

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

(2018) Ruirui Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

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

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