标题
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
作者
关键词
Convolutional Neural Networks (CNN), Deep learning, Vegetation, Plants, Remote sensing, Earth observation
出版物
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 173, Issue -, Pages 24-49
出版商
Elsevier BV
发表日期
2021-01-18
DOI
10.1016/j.isprsjprs.2020.12.010
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Modeling yield response to crop management using convolutional neural networks
- (2020) Alexandre Barbosa et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Cross-site learning in deep learning RGB tree crown detection
- (2020) Ben G. Weinstein et al. Ecological Informatics
- Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
- (2020) Junfeng Gao et al. Plant Methods
- Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network
- (2020) Fabien H. Wagner et al. PLoS One
- Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services
- (2020) Elena Barbierato et al. Remote Sensing
- Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion
- (2020) Leevi Annala et al. Remote Sensing
- Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks
- (2020) Ling Du et al. Remote Sensing
- Tree Cover Estimation in Global Drylands from Space Using Deep Learning
- (2020) Emilio Guirado et al. Remote Sensing
- Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network
- (2020) Chunhua Liao et al. Remote Sensing
- A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard
- (2020) A. Brook et al. REMOTE SENSING OF ENVIRONMENT
- An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data
- (2020) Bingxiao Wu et al. Remote Sensing
- Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
- (2020) Pablo de Bem et al. Remote Sensing
- Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning
- (2020) Lloyd Windrim et al. Remote Sensing
- Tree Crown Delineation Algorithm Based on a Convolutional Neural Network
- (2020) José R. G. Braga et al. Remote Sensing
- Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
- (2020) Thorsten Hoeser et al. Remote Sensing
- UAV and a deep convolutional neural network for monitoring invasive alien plants in the wild
- (2020) Wanqiang Qian et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches
- (2020) S.M. Hamylton et al. International Journal of Applied Earth Observation and Geoinformation
- An unexpectedly large count of trees in the West African Sahara and Sahel
- (2020) Martin Brandt et al. NATURE
- Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery
- (2020) Wellington Castro et al. SENSORS
- Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
- (2020) Etienne David et al. Plant Phenomics
- Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
- (2020) Felix Schiefer et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
- (2019) Giang Nguyen et al. ARTIFICIAL INTELLIGENCE REVIEW
- Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks
- (2019) Zachary Langford et al. Remote Sensing
- A data science challenge for converting airborne remote sensing data into ecological information
- (2019) Sergio Marconi et al. PeerJ
- Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning
- (2019) Anastasiia Safonova et al. Remote Sensing
- Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning
- (2019) Sean Hartling et al. SENSORS
- Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline
- (2019) P.J. Zarco-Tejada et al. REMOTE SENSING OF ENVIRONMENT
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Young and mature oil palm tree detection and counting using convolutional neural network deep learning method
- (2019) Nurulain Abd Mubin et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
- (2019) Qi Yang et al. FIELD CROPS RESEARCH
- A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem
- (2019) Fariba Mohammadimanesh et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Columnar cactus recognition in aerial images using a deep learning approach
- (2019) Efren López-Jiménez et al. Ecological Informatics
- UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data
- (2019) Teja Kattenborn et al. REMOTE SENSING OF ENVIRONMENT
- Radiative transfer modelling reveals why canopy reflectance follows function
- (2019) Teja Kattenborn et al. Scientific Reports
- Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages
- (2019) Yang Chen et al. Remote Sensing
- Crop yield prediction with deep convolutional neural networks
- (2019) Petteri Nevavuori et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
- (2019) Patrick Helber et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
- (2019) Anderson Aparecido dos Santos et al. SENSORS
- Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
- (2019) Zhao et al. SENSORS
- Mapping Tree Species Composition Using OHS-1 Hyperspectral Data and Deep Learning Algorithms in Changbai Mountains, Northeast China
- (2019) Yanbiao Xi et al. Forests
- Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning
- (2019) Wang et al. Forests
- Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data
- (2019) Zayd Mahmoud Hamdi et al. 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
- A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification
- (2019) C. Sothe et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)
- (2019) Bipul Neupane et al. PLoS One
- Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
- (2019) Teja Kattenborn et al. Scientific Reports
- 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
- A Convolutional Neural Network Classifier Identifies Tree Species in Mixed-Conifer Forest from Hyperspectral Imagery
- (2019) Geoffrey A. Fricker et al. Remote Sensing
- Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
- (2019) Uwe Knauer et al. Remote Sensing
- Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks
- (2019) Michael Fromm et al. Remote Sensing
- Learning Semantic Graphics Using Convolutional Encoder–Decoder Network for Autonomous Weeding in Paddy
- (2019) Shyam Prasad Adhikari et al. Frontiers in Plant Science
- A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
- (2019) Lucas Prado Osco et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data
- (2019) Felix M. Riese et al. Remote Sensing
- Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis
- (2019) Rafael Pires de Lima et al. Remote Sensing
- Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
- (2019) Evan R. DeLancey et al. Remote Sensing
- Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
- (2019) Vittorio Mazzia et al. Applied Sciences-Basel
- A comparative study of fine-tuning deep learning models for plant disease identification
- (2018) Edna Chebet Too et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Biodiversity monitoring, earth observations and the ecology of scale
- (2018) Christopher B. Anderson ECOLOGY LETTERS
- Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system
- (2018) Tao Liu et al. GIScience & Remote Sensing
- A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
- (2018) Qiangqiang Yuan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery
- (2018) Mohammad Rezaee et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- From Google Maps to a fine-grained catalog of street trees
- (2018) Steve Branson et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification
- (2018) Tao Liu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A fully learnable context-driven object-based model for mapping land cover using multi-view data from unmanned aircraft systems
- (2018) Tao Liu et al. REMOTE SENSING OF ENVIRONMENT
- Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data
- (2018) Øivind Due Trier et al. European Journal of Remote Sensing
- The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory
- (2018) Elias Ayrey et al. Remote Sensing
- Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks
- (2018) Zhouxin Xi et al. Remote Sensing
- From sample to pixel: multi-scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes
- (2018) Pedro J. Leitão et al. Ecosphere
- Deep learning based multi-temporal crop classification
- (2018) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network
- (2018) Juncheng Ma et al. EUROPEAN JOURNAL OF AGRONOMY
- Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
- (2017) Nataliia Kussul et al. IEEE Geoscience and Remote Sensing Letters
- Tree Classification in Complex Forest Point Clouds Based on Deep Learning
- (2017) Xinhuai Zou et al. IEEE Geoscience and Remote Sensing Letters
- Deep Supervised and Contractive Neural Network for SAR Image Classification
- (2017) Jie Geng et al. IEEE TRANSACTIONS ON GEOSCIENCE 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
- Plant identification using deep neural networks via optimization of transfer learning parameters
- (2017) Mostafa Mehdipour Ghazi et al. NEUROCOMPUTING
- One-Dimensional Convolutional Neural Network Land-Cover Classification of Multi-Seasonal Hyperspectral Imagery in the San Francisco Bay Area, California
- (2017) Daniel Guidici et al. Remote Sensing
- Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
- (2017) Emilio Guirado et al. Remote Sensing
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Remote Sensing Technologies for Enhancing Forest Inventories: A Review
- (2016) Joanne C. White et al. CANADIAN JOURNAL OF REMOTE SENSING
- Remote sensing platforms and sensors: A survey
- (2016) Charles Toth et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Deep learning for computational biology
- (2016) Christof Angermueller et al. Molecular Systems Biology
- Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
- (2016) Weijia Li et al. Remote Sensing
- Pansharpening by Convolutional Neural Networks
- (2016) Giuseppe Masi et al. Remote Sensing
- Remote Sensing Technologies for Enhancing Forest Inventories: A Review
- (2016) Joanne C. White et al. CANADIAN JOURNAL OF REMOTE SENSING
- Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances
- (2016) Devis Tuia et al. IEEE Geoscience and Remote Sensing Magazine
- Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
- (2015) Martin Weinmann et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Accuracy of Kinematic Positioning Using Global Satellite Navigation Systems under Forest Canopies
- (2015) Harri Kaartinen et al. Forests
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
- (2014) Charles F. Cadieu et al. PLoS Computational Biology
- Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
- (2012) David J. Mulla BIOSYSTEMS ENGINEERING
- Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats
- (2012) Harini Nagendra et al. ECOLOGICAL INDICATORS
- SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
- (2012) R. Achanta et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology
- (2012) N. Brodu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Suitability and adaptation of PROSAIL radiative transfer model for hyperspectral grassland studies
- (2012) Clement Atzberger et al. Remote Sensing Letters
- NEON terrestrial field observations: designing continental-scale, standardized sampling
- (2012) Rebecca Hufft Kao et al. Ecosphere
- NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure
- (2010) Thomas U. Kampe Journal of Applied Remote Sensing
- PROSPECT+SAIL models: A review of use for vegetation characterization
- (2009) Stéphane Jacquemoud et al. REMOTE SENSING OF ENVIRONMENT
- Software survey: VOSviewer, a computer program for bibliometric mapping
- (2009) Nees Jan van Eck et al. SCIENTOMETRICS
- Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
- (2009) Elhadi Adam et al. WETLANDS ECOLOGY AND MANAGEMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now