Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques

[1]  Yang Wang,et al.  MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification , 2016, IEEE Geoscience and Remote Sensing Letters.

[2]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[3]  Mohammed Abbas Kadhim,et al.  Convolutional Neural Network for Satellite Image Classification , 2019, ACIIDS.

[4]  Farrokh Mistree,et al.  A rule-based method for automated surrogate model selection , 2020, Adv. Eng. Informatics.

[5]  Zongliang Gan,et al.  Residual Group Channel and Space Attention Network for Hyperspectral Image Classification , 2020, Remote. Sens..

[6]  Xue Li,et al.  Iterative Reweighting Heterogeneous Transfer Learning Framework for Supervised Remote Sensing Image Classification , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  Lorenzo Bruzzone,et al.  Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Kun Tan,et al.  Wavelet SVM in Reproducing Kernel Hilbert Space for hyperspectral remote sensing image classification , 2010 .

[9]  Fei Hu,et al.  Semi-Supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks , 2020, IEEE Access.

[10]  Haifeng Li,et al.  RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data , 2017, ArXiv.

[11]  Wenjia Wu,et al.  A NOVEL FRAMEWORK FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION , 2018 .

[12]  D. Chicco,et al.  The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation , 2020, BMC Genomics.

[13]  Sergio Escalera,et al.  Recurrent neural networks for remote sensing image classification , 2018, IET Comput. Vis..

[14]  Enrico Zio,et al.  A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer , 2021, Appl. Soft Comput..

[15]  Farrokh Mistree,et al.  Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets , 2019, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[16]  Xiaoqiang Lu,et al.  Remote Sensing Image Scene Classification Using Rearranged Local Features , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Aggelos K. Katsaggelos,et al.  Bayesian Active Remote Sensing Image Classification , 2013 .

[18]  G. R. Sinha,et al.  Image Watermarking Using 3-Level Discrete Wavelet Transform (DWT) , 2012 .

[19]  Yidong Peng,et al.  An improved unsupervised representation learning generative adversarial network for remote sensing image scene classification , 2020 .

[20]  Vladimir Risojevic,et al.  Unsupervised Quaternion Feature Learning for Remote Sensing Image Classification , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[21]  Liangpei Zhang,et al.  Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification , 2017, Remote. Sens..

[22]  Seçkin Karasu,et al.  Ayrıştırma Yöntemlerinin Derin Öğrenme Algoritması ile Tanımlanan Rüzgâr Hızı Tahmin Modeli Başarımına Etkisinin İncelenmesi , 2020, European Journal of Science and Technology.

[23]  Kim-Kwang Raymond Choo,et al.  Technical, Temporal, and Spatial Research Challenges and Opportunities in Blockchain-Based Healthcare: A Systematic Literature Review , 2020, IEEE Transactions on Engineering Management.

[24]  Bing Liu,et al.  Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification , 2020, Neurocomputing.

[25]  Eftim Zdravevski,et al.  Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification , 2020, Sensors.

[26]  Jia Song,et al.  A survey of remote sensing image classification based on CNNs , 2019, Big Earth Data.

[27]  Stelios D. Bekiros,et al.  Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques , 2019, Chaos, Solitons & Fractals.

[28]  Yansheng Li,et al.  Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery , 2020, Remote. Sens..

[29]  Wan-Young Chung,et al.  Mobile Healthcare for Automatic Driving Sleep-Onset Detection Using Wavelet-Based EEG and Respiration Signals , 2014, Sensors.

[30]  Hongxun Yao,et al.  Deep Feature Fusion for VHR Remote Sensing Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Dongen Guo,et al.  GAN-Based Semisupervised Scene Classification of Remote Sensing Image , 2021, IEEE Geoscience and Remote Sensing Letters.

[32]  William J. Emery,et al.  Active Learning Methods for Remote Sensing Image Classification , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Xiaoqiang Lu,et al.  Robust Space–Frequency Joint Representation for Remote Sensing Image Scene Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[34]  Pedram Ghamisi,et al.  Remote sensing image classification using subspace sensor fusion , 2020, Inf. Fusion.

[35]  Samir Brahim Belhaouari,et al.  Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice , 2020, IEEE Access.

[36]  Orhan Yaman,et al.  An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor , 2021 .

[37]  Quanhua Zhao,et al.  Hyperspectral remote sensing image classification based on tighter random projection with minimal intra-class variance algorithm , 2021, Pattern Recognit..

[38]  Peijun Du,et al.  Hyperspectral Remote Sensing Image Classification Based on Rotation Forest , 2014, IEEE Geoscience and Remote Sensing Letters.

[39]  Farrokh Mistree,et al.  Managing computational complexity using surrogate models: a critical review , 2020, Research in Engineering Design.

[40]  M. Pal,et al.  Parametric study of convolutional neural network based remote sensing image classification , 2021 .

[41]  Wang Jun,et al.  Remote sensing image classification by the Chaos Genetic Algorithm in monitoring land use changes , 2010 .

[42]  Thilo Wehrmann,et al.  Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification , 2012, Remote. Sens..

[43]  Bing Zhang,et al.  A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information , 2014 .

[44]  Xiaoli Li,et al.  Hyperspectral remote sensing image classification using three-dimensional-squeeze-and-excitation-DenseNet (3D-SE-DenseNet) , 2020 .

[45]  Chen-Yi Lee,et al.  A line-based, memory efficient and programmable architecture for 2D DWT using lifting scheme , 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

[46]  Matthijs J. Warrens,et al.  On the Equivalence of Cohen’s Kappa and the Hubert-Arabie Adjusted Rand Index , 2008, J. Classif..

[47]  Natarajan Sriraam,et al.  Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms , 2018, Expert Syst. Appl..

[48]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[49]  Sengul Dogan,et al.  Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals , 2019, Knowl. Based Syst..

[50]  Gong Zhang,et al.  A novel method for identifying electrocardiograms using an independent component analysis and principal component analysis network , 2020 .

[51]  Wasim Ahmad,et al.  A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series , 2020 .

[52]  Lijun Zhao,et al.  Remote Sensing Image Scene Classification Using CNN-CapsNet , 2019, Remote. Sens..

[53]  S. Du,et al.  A non-local capsule neural network for hyperspectral remote sensing image classification , 2021 .