Top Tweets for #Landcoverclassification
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#LULC
#LandCoverClassification
#MachineLearning
#GoogleEarthEngine
#RemoteSensing
#GIS
#Sentinel2
#Landsat
#Geospatial
#EarthObservation
#remotesensing
📢Efficient Deep Semantic Segmentation for #LandCoverClassification Using #Sentinel Imagery
by Anastasios Tzepkenlis, Konstantinos Marthoglou and Nikos Grammalidis
https://t.co/AUiidpSsTo
#environment
#notablepaper
📢Spectral Characteristics of the Dynamic World #LandCoverClassification by Christopher Small and Daniel Sousa
https://t.co/0g5LnAw6C1
#Biogeosciences
#notablepaper
📢Improving the Accuracy of #LandUse and #LandCoverClassification of #Landsat Data in an Agricultural Watershed by Padmanava Dash, Scott L. Sanders, Prem Parajuli and Ying Ouyang
https://t.co/vghZI0m1Pv
#urban
#remotesensing
📢Continuous Multi-Angle #RemoteSensing and Its Application in Urban #LandCoverClassification by Yuan Yao, Yee Leung, Tung Fung, Zhenfeng Shao, Jie Lu, Deyu Meng, Hanchi Ying and Yu Zhou
https://t.co/8Ap8wCSKTD
#image #imageprocessing
#mostcited
📢Assessment of #DeepLearning Techniques for #LandUse #LandCoverClassification in Southern New Caledonia by Guillaume Rousset, Marc Despinoy, Konrad Schindler and Morgan Mangeas
👉 Read the full article: https://t.co/CwxAl3XYoN
#remotesensing
📢WTS: A Weakly towards Strongly Supervised Learning Framework for #RemoteSensing #LandCoverClassification Using Segmentation Models by Wei Zhang, Ping Tang, Thomas Corpetti and Lijun Zhao
👉Read the full article: https://t.co/UrovMb5s05
🔓 OPEN ACCESS article:
Shi et. al. propose a comprehensive framework exploring optimal, precise #LandCoverClassification of complex scenes imaged with the ultra-hyperspectral #AisaIBIS sensor.
🔗 https://t.co/eJWESQwhRZ
#IJRS #RemoteSensing #hyperspectral #classification
#latestpaper
📢Improving the Accuracy of #LandUse and #LandCoverClassification of #Landsat Data in an Agricultural Watershed by Padmanava Dash, Scott L. Sanders, Prem Parajuli and Ying Ouyang
👉Read the full article: https://t.co/vghZI0m1Pv
🔔 New article:
Al Saidi et. al. propose a new #texture characterization descriptor, #CHLBP (completed homogeneous LBP), for #LandCoverClassification in remote sensing imagery.
🔗 https://t.co/Jt1ReQpgm9
#IJRS #RemoteSensing #KNN #SVM #RandomForest #MLP
#latestpaper
📢 Spectral Characteristics of the #DynamicWorld #LandCoverClassification by Christopher Small and Daniel Sousa
🔗 Read the full article: https://t.co/0g5LnAw6C1
🔔 New article:
Roy (@iiscbangalore) et. al. present a distributed #LandCoverClassification of FP (fully #polarimetric) and CP (compact polarimetric) #SAR observations using the MapReduce-based multi-layer #perceptron algorithm.
🔗 https://t.co/xhSLbArJip
#IJRS #RemoteSensing
#latestpaper
📢 Spectral Characteristics of the #DynamicWorld #LandCoverClassification by Christopher Small and Daniel Sousa
🔗 https://t.co/0g5LnAw6C1
#mostcited
📢 Effects of Training Set Size on #SupervisedMachineLearning #LandCoverClassification of Large-Area #HighResolution #RemotelySensedData by Christopher Ramezan, Timothy A. Warner, Aaron E. Maxwell and Bradley S. Price
🔗 Read the full article: https://t.co/1cSiwVHpSI
Land Cover Classification Based on Double Scatterer Model and Neural Networks
by Konstantinos Karachristos and Vassilis Anastassopoulos
https://t.co/kB8YSUwoX9
#landcoverclassification
#PolSAR
#DoubleScattererModel
#neuralnetworks
Now online in @ESAApplications:
Extending coverage and thematic resolution of compositional land cover maps in a hierarchical Bayesian framework
#LandCoverClassification #BayesianModels #Mapping
https://t.co/E3KTT6fzcL
#Knowforestry #Forestclassification #Landcoverclassification
Woodlands (WO). Wooded areas where trees and shrubs are predominant. To qualify as woodland the average height of the trees must exceed 4m. @KigoziMaggie @nemaug @min_waterUg @RMalango2015 @FriendsofZoka @GovUganda
A Comparison of Three #Temporal Smoothing #Algorithms to Improve #LandCoverClassification: A Case Study from NEPAL
by Nishanta Khanal, Mir Abdul Matin, et al
👉https://t.co/OVZI6m1KQn
#randomforest
#googleearthengine
#MachineLearning
#remotesensing
#DeepLearning for #LandCoverClassification Using Only a Few Bands
by Chiman Kwan, Bulent Ayhan, et al
👉https://t.co/oq9h3PdXkq
#hyperspectral
#lidar
#datafusion
#remotesensing
#RSHighlyCitedPaper
A Stacked Fully #ConvolutionalNetworks with Feature Alignment Framework for Multi-Label #LandCover Segmentation
by Guangming Wu, Yimin Guo, et al.
👉https://t.co/Oh1gC2oRBo
#remotesensing
#LandCoverClassification
#ImageSegmentation
#EnsembleLearing
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