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Remote Sensing Image Scene Classification Using Rearranged Local Features

https://doi.org/10.1109/tgrs.2018.2869101

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Scene Classification Via pLSA

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Improving the Fisher Kernel for Large-Scale Image Classification

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Color indexing

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ImageNet Large Scale Visual Recognition Challenge

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Multi-class geospatial object detection and geographic image classification based on collection of part detectors

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Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

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Distinctive Image Features from Scale-Invariant Keypoints

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A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification

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Using convolutional features and a sparse autoencoder for land-use scene classification

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Texture features for browsing and retrieval of image data

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Evaluation of second-order visual features for land-use classification

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Histograms of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvprw.2015.7301382openalex-snapshot

Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?

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Video Google: a text retrieval approach to object matching in videos

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Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery

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Hybrid generative/discriminative scene classification strategy based on latent dirichlet allocation for high spatial resolution remote sensing imagery

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Aerial image classification using structural texture similarity

inferredcites →https://doi.org/10.1109/jproc.2017.2675998openalex-snapshot

Remote Sensing Image Scene Classification: Benchmark and State of the Art

inferredcites →https://doi.org/10.1109/jstars.2014.2339842openalex-snapshot

Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model

inferredcites →https://doi.org/10.1109/lgrs.2009.2023536openalex-snapshot

Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation

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Land-Use Classification With Compressive Sensing Multifeature Fusion

inferredcites →https://doi.org/10.1109/lgrs.2015.2475299openalex-snapshot

Deep Learning Based Feature Selection for Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/lgrs.2015.2483680openalex-snapshot

Multiview Deep Learning for Land-Use Classification

inferredcites →https://doi.org/10.1109/tgrs.2012.2205158openalex-snapshot

Geographic Image Retrieval Using Local Invariant Features

inferredcites →https://doi.org/10.1109/tgrs.2014.2357078openalex-snapshot

Saliency-Guided Unsupervised Feature Learning for Scene Classification

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Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

inferredcites →https://doi.org/10.1109/tgrs.2015.2488681openalex-snapshot

Scene Classification via a Gradient Boosting Random Convolutional Network Framework

inferredcites →https://doi.org/10.1109/tgrs.2016.2601622openalex-snapshot

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

inferredcites →https://doi.org/10.1109/tgrs.2017.2685945openalex-snapshot

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2700322openalex-snapshot

Deep Feature Fusion for VHR Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/tgrs.2017.2702596openalex-snapshot

Remote Sensing Scene Classification by Unsupervised Representation Learning

inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

inferredcites →https://doi.org/10.1109/tpami.2011.235openalex-snapshot

Aggregating Local Image Descriptors into Compact Codes

inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot

Textural Features for Image Classification

inferredcites →https://doi.org/10.1117/1.jrs.11.016017openalex-snapshot

Local feature representation based on linear filtering with feature pooling and divisive normalization for remote sensing image classification

inferredcites →https://doi.org/10.1117/1.jrs.8.083690openalex-snapshot

Integrated visual vocabulary in latent Dirichlet allocation–based scene classification for IKONOS image

inferredcites →https://doi.org/10.1117/1.jrs.9.095064openalex-snapshot

Scene classification based on multifeature probabilistic latent semantic analysis for high spatial resolution remote sensing images

inferredcites →https://doi.org/10.1117/12.205308openalex-snapshot

Similarity of color images

inferredcites →https://doi.org/10.1145/1869790.1869829openalex-snapshot

Bag-of-visual-words and spatial extensions for land-use classification

inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot

A Fast Learning Algorithm for Deep Belief Nets

inferredcites →https://doi.org/10.3390/rs5052275openalex-snapshot

Tile-Level Annotation of Satellite Images Using Multi-Level Max-Margin Discriminative Random Field

inferredcites →https://doi.org/10.3390/rs5116026openalex-snapshot

Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping

inferredcites →https://doi.org/10.3390/rs71114680openalex-snapshot

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

inferredcites →https://doi.org/10.3788/ope.20172501.0198openalex-snapshot

A destriping method with multi-scale variational model for remote sensing images

inferredcites →https://doi.org/10.48550/arxiv.1312.6229openalex-snapshot

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot

Caffe: Convolutional Architecture for Fast Feature Embedding

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1508.00092openalex-snapshot

Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

inferredcites →https://doi.org/10.5220/0002843402030208openalex-snapshot

EVALUATING THE POTENTIAL OF TEXTURE AND COLOR DESCRIPTORS FOR REMOTE SENSING IMAGE RETRIEVAL AND CLASSIFICATION

inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot

Latent dirichlet allocation

inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot

Latent Dirichlet Allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Broad-Classifier for Remote Sensing Scene Classification with Spatial and Channel-Wise Attention

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Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification

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Topic-based label distribution learning to exploit label ambiguity for scene classification

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Pseudo-label meta-learner in semi-supervised few-shot learning for remote sensing image scene classification

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Remote sensing image scene classification using CNN-MLP with data augmentation

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Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification

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A deep learning semantic template matching framework for remote sensing image registration

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AutoRSISC: Automatic design of neural architecture for remote sensing image scene classification

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Transformer based on channel-spatial attention for accurate classification of scenes in remote sensing image

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A lightweight and stochastic depth residual attention network for remote sensing scene classification

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A literature review on remote sensing scene categorization based on convolutional neural networks

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IDN: inner-class dense neighbours for semi-supervised learning-based remote sensing scene classification

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Cross-layer fusion enhanced transformer network for remote sensing scene classification

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Leading with integrity: illuminating the pathway to positive job outcomes through ethical leadership and CSR

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Sample and Structure-Guided Network for Road Crack Detection

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Pixel-Level Prediction for Ocean Remote Sensing Image Features Fusion Based on Global and Local Semantic Relations

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Aggregating Features From Dual Paths for Remote Sensing Image Scene Classification

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Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks

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Remote Sensing Image Scene Classification Based on Head-Tail Global Joint Dual Attention Discrimination Network

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A Deeper Look Into Remote Sensing Scene Image Misclassification by CNNs

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Automated Matchmaking of Researcher Biosketches and Funder Requests for Proposals Using Deep Neural Networks

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Improved YOLOv8n Models for Object Detection in Remote Sensing Images

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DTransGAN: Deblurring Transformer Based on Generative Adversarial Network

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Global and Multi-Scale Feature Learning for Remote Sensing Scene Classification

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Convolutional Transformersl for Aerial Image Classification: a General to Specific Learning Curve

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Semisupervised Center Loss for Remote Sensing Image Scene Classification

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An Augmentation Attention Mechanism for High-Spatial-Resolution Remote Sensing Image Scene Classification

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Generating and Sifting Pseudolabeled Samples for Improving the Performance of Remote Sensing Image Scene Classification

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Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring

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Fusing Deep Features by Kernel Collaborative Representation for Remote Sensing Scene Classification

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Transformer-Driven Semantic Relation Inference for Multilabel Classification of High-Resolution Remote Sensing Images

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mRMR-Tri-ConcaveHull Detector for Floating Small Targets in Sea Clutter

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Progressive Feature Fusion Framework Based on Graph Convolutional Network for Remote Sensing Scene Classification

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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision

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CTPMSN: Enhancing Multimodal Remote Sensing Classification With Composite Text Prompts

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AF 2 -MSA Net: Attention-Fusion Focused Multiscale Architecture Network for Remote Sensing Scene Classification

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Spatial Information Considered Network for Scene Classification

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Remote Sensing Image Scene Classification Based on Object Relationship Reasoning CNN

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MSNet: A Multiple Supervision Network for Remote Sensing Scene Classification

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Multidimensional Attention Learning for VHR Remote Sensing Imagery Recognition

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Deeply Encoding Stable Patterns From Contaminated Data for Scenery Image Recognition

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Multi-Label Classification Using Binary Tree of Classifiers

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Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks

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Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification

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Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations

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E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution

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Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

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Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification

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High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network

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Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification

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Proxy-Based Deep Learning Framework for Spectral–Spatial Hyperspectral Image Classification: Efficient and Robust

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Semantics-Consistent Representation Learning for Remote Sensing Image–Voice Retrieval

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Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network With Octave Convolution

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Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources

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LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification

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CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification

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Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification

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Hierarchical Knowledge Graph for Multilabel Classification of Remote Sensing Images

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ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition

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Transferable Feature Selection for Unsupervised Domain Adaptation

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Evolutionary Neural Architecture Search for Remote Sensing Image Classification

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Co-evolution-based parameter learning for remote sensing scene classification

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Remote Sensing Image Classification: A Comprehensive Review and Applications

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Ensemble model with cascade attention mechanism for high-resolution remote sensing image scene classification

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Multi-level Graph Contrastive Prototypical Clustering

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Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform

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inferred← citeshttps://doi.org/10.3390/rs14092042openalex-snapshot

An Attention Cascade Global–Local Network for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.3390/rs15020327openalex-snapshot

Fast Tailings Pond Mapping Exploiting Large Scene Remote Sensing Images by Coupling Scene Classification and Sematic Segmentation Models

inferred← citeshttps://doi.org/10.3390/rs17071302openalex-snapshot

Enhancing Cross-Domain Remote Sensing Scene Classification by Multi-Source Subdomain Distribution Alignment Network

inferred← citeshttps://doi.org/10.3390/s20041188openalex-snapshot

Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification

inferred← citeshttps://doi.org/10.3390/s22093305openalex-snapshot

A Novel Approach for UAV Image Crack Detection

inferred← citeshttps://doi.org/10.3390/s23177514openalex-snapshot

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective

inferred← citeshttps://doi.org/10.3788/lop223154openalex-snapshot

融合CNN与Transformer结构的遥感图像分类方法

inferred← citeshttps://doi.org/10.3799/dqkx.2020.365openalex-snapshot

基于多尺度循环注意力网络的遥感影像场景分类方法

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