An Improved Res-UNet Model for Tree Species Classification Using Airborne High-Resolution Images

Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples

(2020) Bei Fang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images

(2020) Chenxiao Zhang et al.   International Journal of Applied Earth Observation and Geoinformation

A subclass supported convolutional neural network for object detection and localization in remote-sensing images

(2019) Ersin Kilic et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology

(2019) Yufei Liu et al.   Engineering

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

(2019) Sean Hartling et al.   SENSORS

A real-time object detection algorithm for video

(2019) Shengyu Lu et al.   COMPUTERS & ELECTRICAL ENGINEERING

Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection

(2019) Yuanlin Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Graph convolutional network for multi-label VHR remote sensing scene recognition

(2019) Nagma Khan et al.   NEUROCOMPUTING

Classification of Mangrove Species Using Combined WordView-3 and LiDAR Data in Mai Po Nature Reserve, Hong Kong

(2019) Qiaosi Li et al.   Remote Sensing

WorldView-2 Data for Hierarchical Object-Based Urban Land Cover Classification in Kigali: Integrating Rule-Based Approach with Urban Density and Greenness Indices

(2019) Mugiraneza et al.   Remote Sensing

3-D Gaussian–Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification

(2019) Sen Jia et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia

(2019) Neil Flood et al.   International Journal of Applied Earth Observation and Geoinformation

Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images

(2019) Ying Sun et al.   Forests

Tree species classification in a temperate mixed forest using a combination of imaging spectroscopy and airborne laser scanning

(2019) Hossein Torabzadeh et al.   AGRICULTURAL AND FOREST METEOROLOGY

Land-cover classification with high-resolution remote sensing images using transferable deep models

(2019) Xin-Yi Tong et al.   REMOTE SENSING OF ENVIRONMENT

Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover

(2018) Ran Goldblatt et al.   REMOTE SENSING OF ENVIRONMENT

Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

(2018) Yongyang Xu et al.   Remote Sensing

Deep Learning Scene Recognition Method Based on Localization Enhancement

(2018) Wei Guo et al.   SENSORS

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

A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification

(2018) Xianwei Lv et al.   Remote Sensing

A review of supervised object-based land-cover image classification

(2017) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

(2017) Gang Fu et al.   Remote Sensing

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach

(2016) Lien T.H. Pham et al.   International Journal of Applied Earth Observation and Geoinformation

SVM-based soft classification of urban tree species using very high-spatial resolution remote-sensing imagery

(2016) Jianhua Zhou et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

LiCHy: The CAF’s LiDAR, CCD and Hyperspectral Integrated Airborne Observation System

(2016) Yong Pang et al.   Remote Sensing

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Semi-supervised SVM for individual tree crown species classification

(2015) Michele Dalponte et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images

(2015) Dan Li et al.   Remote Sensing

Object Features for Pixel-based Classi cation of Urban Areas Comparing Different Machine Learning Algorithms Objektmerkmale für die pixelbasierte Klassifizierung urbaner Räume: ein Vergleich von Algorithmen des maschinellen Lernens

(2013) Nils Wolf   Photogrammetrie Fernerkundung Geoinformation

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

(2010) Yinghai Ke et al.   REMOTE SENSING OF ENVIRONMENT

Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses

(2008) Francisco Agüera et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING