A Combined Convolutional Neural Network for Urban Land-Use Classification with GIS Data

Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis

(2021) Bipul Neupane et al.   Remote Sensing

Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study

(2021) Javiera Castillo-Navarro et al.   MACHINE LEARNING

Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images

(2021) Tian Tian et al.   Remote Sensing

Dual Attention Feature Fusion and Adaptive Context for Accurate Segmentation of Very High-Resolution Remote Sensing Images

(2021) Hao Shi et al.   Remote Sensing

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

Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images

(2020) Ronghua Shang et al.   Remote Sensing

Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification

(2020) Mohamed Barakat A. Gibril et al.   Remote Sensing

Landscape Patterns and Building Functions for Urban Land-Use Classification from Remote Sensing Images at the Block Level: A Case Study of Wuchang District, Wuhan, China

(2020) Ye Zhang et al.   Remote Sensing

POI Mining for Land Use Classification: A Case Study

(2020) Renato Andrade et al.   ISPRS International Journal of Geo-Information

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

HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images

(2020) Zhiyong Xu et al.   Remote Sensing

A review of deep learning methods for semantic segmentation of remote sensing imagery

(2020) Xiaohui Yuan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism

(2019) Bei Fang et al.   Remote Sensing

An Integrated Framework Combining Multiple Human Activity Features for Land Use Classification

(2019) Panpan Ge et al.   ISPRS International Journal of Geo-Information

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Asymmetric Adaptation of Deep Features for Cross-Domain Classification in Remote Sensing Imagery

(2018) Nassim Ammour et al.   IEEE Geoscience and Remote Sensing Letters

Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data

(2018) Xiong Zhou et al.   IEEE TRANSACTIONS ON GEOSCIENCE 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

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

(2018) Haobo Lyu et al.   Remote Sensing

High-Resolution Remote Sensing Image Classification Method Based on Convolutional Neural Network and Restricted Conditional Random Field

(2018) Xin Pan et al.   Remote Sensing

Active Deep Learning for Classification of Hyperspectral Images

(2017) Peng Liu et al.   IEEE Journal of Selected Topics in Applied Earth Observations 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

A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques

(2017) Weitao Chen et al.   Remote Sensing

Deep Filter Banks for Land-Use Scene Classification

(2016) Hang Wu et al.   IEEE Geoscience and Remote Sensing Letters

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Extracting Urban Land Use from Linked Open Geospatial Data

(2015) Gloria Calegari et al.   ISPRS International Journal of Geo-Information

A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses

(2014) Seyed Ahad Beykaei et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture

(2014) Jun Zhang et al.   Remote Sensing