mlsanityData to 7 Oct 2026

A Light-weight Deep Learning Model for Remote Sensing Image Classification

arXiv 2302.13028 ↗First posted 25 Feb 2023cs.CV cs.AI cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remote sensing image. To this end, we first valuate various benchmark convolutional neural network (CNN) architectures: MobileNet V1/V2, ResNet 50/151V2, InceptionV3/InceptionResNetV2, EfficientNet B0/B7, DenseNet 121/201, ConNeXt Tiny/Large. Then, the best performing models are selected to train a compact model in a teacher-student arrangement. The knowledge distillation from the teacher aims to achieve high performance with significantly reduced complexity. By conducting extensive experiments on the NWPU-RESISC45 benchmark, our proposed teacher-student models outperforms the state-of-the-art systems, and has potential to be applied on a wide rage of edge devices.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 43 references that are in the map. First posted on arXiv 25 Feb 2023.

Builds on

11 of 43 references.

References · 11

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
  3. 2020Knowledge Distillation: A Surveycited by 1,578
  4. 2017Remote Sensing Image Scene Classification: Benchmark and State of the Artcited by 791
  5. 2016AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classificationcited by 343
  6. 2022An Empirical Study of Remote Sensing Pretrainingcited by 105
  7. 2015DeepSat - A Learning framework for Satellite Imagerycited by 37
  8. 2020Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Appscited by 35
  9. 2018Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Networkcited by 16
  10. 2020Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classificationcited by 16
  11. 2022A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classificationcited by 3

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Cited by year

Citing papers per year: 2024: 1; 2025: 3.

4 papers.

  1. 2025Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classificationcited by 1
  2. 2024RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classificationcited by 0
  3. 2025SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioningcited by 0
  4. 2025Hierarchical Fusion of Local and Global Visual Features with Mixture-of-Experts for Remote Sensing Image Scene Classificationcited by 0