Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data

Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier

(2021) Tianxiang Zhang et al.   Applied Sciences-Basel

Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine

(2021) Mingming Jia et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

(2021) Man Liu et al.   ECOLOGICAL INDICATORS

Tree, Shrub, and Grass Classification Using Only RGB Images

(2020) Bulent Ayhan et al.   Remote Sensing

An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data

(2020) Peiqing Lou et al.   Remote Sensing

Monitoring the Vegetation Dynamics in the Dongting Lake Wetland from 2000 to 2019 Using the BEAST Algorithm Based on Dense Landsat Time Series

(2020) Yaotong Cai et al.   Applied Sciences-Basel

Unmanned Aircraft System Photogrammetry for Mapping Diverse Vegetation Species in a Heterogeneous Coastal Wetland

(2020) Sara Denka Durgan et al.   WETLANDS

Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine Learning: A Case Study of the Dongting Lake, China

(2020) Lei Jing et al.   Remote Sensing

Multisensor data to derive peatland vegetation communities using a fixed-wing unmanned aerial vehicle

(2019) Florian Beyer et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessment of Convolution Neural Networks for Wetland Mapping with Landsat in the Central Canadian Boreal Forest Region

(2019) Darren Pouliot et al.   Remote Sensing

Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields

(2019) Xu Ma et al.   PLoS One

Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

(2019) Husam A. H. Al-Najjar et al.   Remote Sensing

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

Ecological and human health risk of sulfonamides in surface water and groundwater of Huixian karst wetland in Guilin, China

(2019) Li-Tang Qin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada

(2019) Evan R. DeLancey et al.   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

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

Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models

(2018) Jingjing Cao et al.   Remote Sensing

Assessing Texture Features to Classify Coastal Wetland Vegetation from High Spatial Resolution Imagery Using Completed Local Binary Patterns (CLBP)

(2018) Minye Wang et al.   Remote Sensing

Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS)

(2018) Michael Palace et al.   Remote Sensing

Image Classification Using RapidEye Data: Integration of Spectral and Textual Features in a Random Forest Classifier

(2017) Huanxue Zhang 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 Wetland Remote Sensing

(2017) Meng Guo et al.   SENSORS

Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery

(2017) Roshan Pande-Chhetri et al.   European Journal of Remote Sensing

Combining Spectral Data and a DSM from UAS-Images for Improved Classification of Non-Submerged Aquatic Vegetation

(2017) Eva Husson 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

Land cover classification using random forest with genetic algorithm-based parameter optimization

(2016) Dongping Ming et al.   Journal of Applied Remote Sensing

Classifying spatially heterogeneous wetland communities using machine learning algorithms and spectral and textural features

(2015) Zoltan Szantoi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

(2015) Juliane Bendig et al.   International Journal of Applied Earth Observation and Geoinformation

An object-based approach to delineate wetlands across landscapes of varied disturbance with high spatial resolution satellite imagery

(2015) Amy Mui et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012

(2015) Kate C. Fickas et al.   WETLANDS ECOLOGY AND MANAGEMENT

Automated parameterisation for multi-scale image segmentation on multiple layers

(2014) L. Drăguţ et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods

(2012) Iryna Dronova et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data

(2010) Lucian Drǎguţ et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE