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Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

arXiv 1703.06452 ↗First posted 19 Mar 2017cs.CV cs.AIcited by 37

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Abstract (arXiv)

Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on many computer vision tasks (e.g., object recognition, object detection, semantic segmentation) thanks to a large repository of annotated image data. Large labeled datasets for other sensor modalities, e.g., multispectral imagery (MSI), are not available due to the large cost and manpower required. In this paper, we adapt state-of-the-art DCNN frameworks in computer vision for semantic segmentation for MSI imagery. To overcome label scarcity for MSI data, we substitute real MSI for generated synthetic MSI in order to initialize a DCNN framework. We evaluate our network initialization scheme on the new RIT-18 dataset that we present in this paper. This dataset contains very-high resolution MSI collected by an unmanned aircraft system. The models initialized with synthetic imagery were less prone to over-fitting and provide a state-of-the-art baseline for future work.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Mar 2017.

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Citing papers per year: 2021: 6; 2022: 7; 2023: 9; 2024: 9; 2025: 5; 2026: 1.

37 papers.

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  1. 2021UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagerycited by 166
  2. 2023Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networkscited by 55
  3. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  4. 2021Geographical Knowledge-driven Representation Learning for Remote Sensing Imagescited by 37
  5. 2022Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagerycited by 31
  6. 2021GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imagingcited by 25
  7. 2021ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Imagescited by 22
  8. 2024SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentationcited by 18
  9. 2022Semantic Segmentation with Active Semi-Supervised Learningcited by 16
  10. 2022Distilling Inter-Class Distance for Semantic Segmentationcited by 16
  11. 2024SFFNet: A Wavelet-Based Spatial and Frequency Domain Fusion Network for Remote Sensing Segmentationcited by 16
  12. 2023GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatescited by 12
25 more
  1. 2023Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Reviewcited by 12
  2. 2021Oriented Bounding Boxes for Small and Freely Rotated Objectscited by 8
  3. 2022Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentationcited by 8
  4. 2023An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mappingcited by 8
  5. 2023Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentationcited by 8
  6. 2021An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagerycited by 7
  7. 2024Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Wastecited by 3
  8. 2023OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Imagescited by 2
  9. 2024Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormercited by 2
  10. 2024Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Searchcited by 2
  11. 2022Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Imagescited by 1
  12. 2022Exploration of Convolutional Neural Network Architectures for Large Region Map Automationcited by 1
  13. 2024BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregationcited by 1
  14. 2024C3DG: Conditional Domain Generalization for Hyperspectral Imagery Classification with Convergence and Constrained-risk Theoriescited by 1
  15. 2025ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagerycited by 1
  16. 2023SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeterscited by 0
  17. 2023Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic datacited by 0
  18. 2023Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learningcited by 0
  19. 2024Deep Learning Meets OBIA: Tasks, Challenges, Strategies, and Perspectivescited by 0
  20. 2024Segment Using Just One Examplecited by 0
  21. 2025Transferability of labels between multilens camerascited by 0
  22. 2025FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentationcited by 0
  23. 2025From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentationcited by 0
  24. 2025An U-Net-Based Deep Neural Network for Cloud Shadow and Sun-Glint Correction of Unmanned Aerial System (UAS) Imagerycited by 0
  25. 2026MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentationcited by 0