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Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification

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

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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High-resolution satellite scene classification using a sparse coding based multiple feature combination
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A Bayesian Hierarchical Model for Learning Natural Scene Categories
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Learning mid-level features for recognition
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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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Video Google: a text retrieval approach to object matching in videos
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Spatial pyramid co-occurrence for image classification
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Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
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Unsupervised feature coding on local patch manifold for satellite image scene classification
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Deep supervised learning for hyperspectral data classification through convolutional neural networks
inferredcites →https://doi.org/10.1109/jproc.2010.2044470openalex-snapshot
Sparse Representation for Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/jproc.2012.2197589openalex-snapshot
Advances in Spectral-Spatial Classification of Hyperspectral Images
inferredcites →https://doi.org/10.1109/jstars.2017.2700490openalex-snapshot
Spatial–Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/lgrs.2005.857031openalex-snapshot
Composite Kernels for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/lgrs.2010.2055033openalex-snapshot
Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation
inferredcites →https://doi.org/10.1109/lgrs.2015.2476365openalex-snapshot
Remote Sensing Image Classification Exploiting Multiple Kernel Learning
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inferredcites →https://doi.org/10.1109/tgrs.2004.831865openalex-snapshot
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inferredcites →https://doi.org/10.1109/tgrs.2011.2176341openalex-snapshot
Representative Multiple Kernel Learning for Classification in Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/tgrs.2013.2241444openalex-snapshot
Unsupervised Feature Learning for Aerial Scene Classification
inferredcites →https://doi.org/10.1109/tgrs.2014.2345739openalex-snapshot
Multiple Feature Learning for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2015.2393857openalex-snapshot
Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images
inferredcites →https://doi.org/10.1109/tgrs.2015.2400449openalex-snapshot
Learning High-level Features for Satellite Image Classification With Limited Labeled Samples
inferredcites →https://doi.org/10.1109/tgrs.2015.2465899openalex-snapshot
Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial–Spectral Feature Fusion
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.2016.2535538openalex-snapshot
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification With Limited Training Samples
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.48550/arxiv.1312.5402openalex-snapshot
Some Improvements on Deep Convolutional Neural Network Based Image Classification
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets

What points at this work

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

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Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3003341openalex-snapshot
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3010055openalex-snapshot
Domain Adaptive Transfer Attack-Based Segmentation Networks for Building Extraction From Aerial Images
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3022410openalex-snapshot
Multiscale U-Shaped CNN Building Instance Extraction Framework With Edge Constraint for High-Spatial-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3035676openalex-snapshot
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3042607openalex-snapshot
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3088398openalex-snapshot
Rotation-Invariant Deep Embedding for Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3094884openalex-snapshot
TANet: An Unsupervised Two-Stream Autoencoder Network for Hyperspectral Unmixing
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3126939openalex-snapshot
Explore Better Network Framework for High-Resolution Optical and SAR Image Matching
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3207551openalex-snapshot
Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3320658openalex-snapshot
A Shape and Size Free-CNN for Urban Functional Zone Mapping With High-Resolution Satellite Images and POI Data
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3382352openalex-snapshot
A Novel Two-Step Framework for Mapping Fraction of Mulched Film Based on Very-High-Resolution Satellite Observation and Deep Learning
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3691258openalex-snapshot
R2C-MGR2L: Enhancing Multigranularity Relational Representation in Dual-Temporal Optical Remote Sensing Images Through LLM-Based Scene Graph Generation
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3722071openalex-snapshot
CoRe-SCD: A Boundary-Task Co-Refinement Network for Semantic Change Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tmm.2019.2891999openalex-snapshot
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3123968openalex-snapshot
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
inferred← citeshttps://doi.org/10.1109/tvcg.2018.2865317openalex-snapshot
Learning Discriminative 3D Shape Representations by View Discerning Networks
inferred← citeshttps://doi.org/10.1117/12.2500191openalex-snapshot
A novel active learning technique for multi-label remote sensing image scene classification
inferred← citeshttps://doi.org/10.1142/s0219467818500249openalex-snapshot
Textural Region Denoising: Application in Agriculture
inferred← citeshttps://doi.org/10.1142/s0219467825500548openalex-snapshot
Feature Engineering Versus Deep Learning for Scene Recognition: A Brief Survey
inferred← citeshttps://doi.org/10.1155/2021/6659831openalex-snapshot
Remote Sensing Image Scene Classification Based on Fusion Method
inferred← citeshttps://doi.org/10.1155/2022/2054877openalex-snapshot
Extraction and Classification of the Supervised Coastal Objects Based on HSRIs and a Novel Lightweight Fully Connected Spatial Dropout Network
inferred← citeshttps://doi.org/10.1177/0734242x261451604openalex-snapshot
Hyperspectral scrap characterisation for scrap composition optimisation in steel recycling
inferred← citeshttps://doi.org/10.1209/0295-5075/ad3a0fopenalex-snapshot
Arbitrary target frequency cloaking for flexural waves using deep learning
inferred← citeshttps://doi.org/10.12794/metadc1944210openalex-snapshot
An Investigation of Scale Factor in Deep Networks for Scene Recognition
inferred← citeshttps://doi.org/10.14358/pers.21-00062r2openalex-snapshot
Multi-View Urban Scene Classification with a Complementary-Information Learning Model
inferred← citeshttps://doi.org/10.17706/jcp.15.2.48-58openalex-snapshot
An Efficient Convolutional Neural Network for Remote-Sensing Scene Image Classification
inferred← citeshttps://doi.org/10.3233/jifs-210222openalex-snapshot
Fuzzy enhancement and deep hash layer based neural network to detect Covid-19
inferred← citeshttps://doi.org/10.3389/fenvs.2022.1010630openalex-snapshot
Urban functional zone classification based on self-supervised learning: A case study in Beijing, China
inferred← citeshttps://doi.org/10.3390/app10124207openalex-snapshot
Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview
inferred← citeshttps://doi.org/10.3390/app12105151openalex-snapshot
An End-to-End Atrous Spatial Pyramid Pooling and Skip-Connections Generative Adversarial Segmentation Network for Building Extraction from High-Resolution Aerial Images
inferred← citeshttps://doi.org/10.3390/app12126000openalex-snapshot
Geographic Scene Understanding of High-Spatial-Resolution Remote Sensing Images: Methodological Trends and Current Challenges
inferred← citeshttps://doi.org/10.3390/app9102110openalex-snapshot
A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection
inferred← citeshttps://doi.org/10.3390/rs10091327openalex-snapshot
Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations
inferred← citeshttps://doi.org/10.3390/rs10111713openalex-snapshot
Land Cover Mapping with Higher Order Graph-Based Co-Occurrence Model
inferred← citeshttps://doi.org/10.3390/rs11010076openalex-snapshot
Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs11070888openalex-snapshot
Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method
inferred← citeshttps://doi.org/10.3390/rs11141687openalex-snapshot
Combing Triple-Part Features of Convolutional Neural Networks for Scene Classification in Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs11242908openalex-snapshot
Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification
inferred← citeshttps://doi.org/10.3390/rs12061034openalex-snapshot
Accounting for Training Data Error in Machine Learning Applied to Earth Observations
inferred← citeshttps://doi.org/10.3390/rs12071092openalex-snapshot
PulseNetOne: Fast Unsupervised Pruning of Convolutional Neural Networks for Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs12162603openalex-snapshot
High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs12223812openalex-snapshot
Satellite Image Multi-Frame Super Resolution Using 3D Wide-Activation Neural Networks
inferred← citeshttps://doi.org/10.3390/rs13214351openalex-snapshot
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
inferred← citeshttps://doi.org/10.3390/rs14246358openalex-snapshot
Deep Hash Remote-Sensing Image Retrieval Assisted by Semantic Cues
inferred← citeshttps://doi.org/10.3390/rs15041001openalex-snapshot
Application of a Novel Multiscale Global Graph Convolutional Neural Network to Improve the Accuracy of Forest Type Classification Using Aerial Photographs
inferred← citeshttps://doi.org/10.3390/rs16071161openalex-snapshot
Research on Remote-Sensing Identification Method of Typical Disaster-Bearing Body Based on Deep Learning and Spatial Constraint Strategy
inferred← citeshttps://doi.org/10.3390/rs16214109openalex-snapshot
SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
inferred← citeshttps://doi.org/10.3390/rs17050871openalex-snapshot
Predicting the Spatial Distribution of VLF Transmitter Signals Using Transfer Learning Models
inferred← citeshttps://doi.org/10.3390/rs18142432openalex-snapshot
CLIFF: A Multi-Modal Remote Sensing Model for Geological Hazard Monitoring Based on Bitemporal UAV Images
inferred← citeshttps://doi.org/10.3390/s20092733openalex-snapshot
Identifying Informal Settlements Using Contourlet Assisted Deep Learning
inferred← citeshttps://doi.org/10.3390/s23041922openalex-snapshot
A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction
inferred← citeshttps://doi.org/10.36909/jer.12843openalex-snapshot
Comparison of deep learning models in terms of multiple object detection on satellite images
inferred← citeshttps://doi.org/10.3788/lop240769openalex-snapshot
基于SwinT-MFPN的高分辨率边坡场景图像分类
inferred← citeshttps://doi.org/10.3837/tiis.2019.02.021openalex-snapshot
Object Tracking Based on Weighted Local Sub-space Reconstruction Error
inferred← citeshttps://doi.org/10.48550/arxiv.2111.03064openalex-snapshot
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
inferred← citeshttps://doi.org/10.5194/isprs-annals-v-3-2020-263-2020openalex-snapshot
SOCIAL INFORMATION FUSED URBAN FUNCTIONAL ZONES CLASSIFICATION NETWORK
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliv-m-3-2021-63-2021openalex-snapshot
FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-15-2023openalex-snapshot
CURVELET BASED U-NET FRAMEWORK FOR BUILDING FOOTPRINT IDENTIFICATION
inferred← citeshttps://doi.org/10.70675/a48922d5zea9cz4ce7z87d5z357fa3caae46openalex-snapshot
Localisation d'objets urbains à partir de sources multiples dont des images aériennes
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