Evaluation of Semantic Segmentation Methods for Land Use with Spectral Imaging Using Sentinel-2 and PNOA Imagery

Using improved DeepLabv3+ network integrated with normalized difference water index to extract water bodies in Sentinel-2A urban remote sensing images

(2021) Houcheng Su et al.   Journal of Applied Remote Sensing

Convolutional neural networks applied to semantic segmentation of landslide scars

(2021) L. Bragagnolo et al.   CATENA

An assessment of temporal RADARSAT-2 SAR data for crop classification using KPCA based support vector machine

(2020) Dipankar Mandal et al.   Geocarto International

Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran

(2020) R. Taghizadeh-Mehrjardi et al.   GEODERMA

Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images

(2020) Shouji Du et al.   International Journal of Digital Earth

Mapping Land Use from High Resolution Satellite Images by Exploiting the Spatial Arrangement of Land Cover Objects

(2020) Mengmeng Li et al.   Remote Sensing

Evaluation of magnetic resonance image segmentation in brain low-grade gliomas using support vector machine and convolutional neural network

(2020) Qifan Yang et al.   Quantitative Imaging in Medicine and Surgery

Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems

(2019) Andrei Stoian et al.   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

Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery

(2018) Pengbin Zhang et al.   SENSORS

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data

(2015) Kenichi Tatsumi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery

(2015) Jordi Inglada et al.   Remote Sensing

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION