Browsing Institute of New Imaging Technologies (INIT) by Keyword "remote sensing (RS)"

Now showing items 1-7 of 7

    • openAccess   Deep Learning-Based Building Footprint Extraction With Missing Annotations 

      kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)
      Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...

    • openAccess   Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast 

      kang, jian; Fernandez-Beltran, Ruben; Duan, Puhong; Liu, Sicong; Plaza, Antonio IEEE (2020-07-14)
      Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data (together with the high complexity of the RS image domain) ...

    • openAccess   Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval 

      kang, jian; Fernandez-Beltran, Ruben; Danfeng, Hong; Chanussot, Jocelyn; Plaza, Antonio IEEE (2020-08-21)
      Due to the proliferation of large-scale remote-sensing (RS) archives with multiple annotations, multilabel RS scene classification and retrieval are becoming increasingly popular. Although some recent deep learning-based ...

    • openAccess   Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise 

      kang, jian; Fernandez-Beltran, Ruben; Kang, Xudong; Ni, Jingen; Plaza, Antonio IEEE (2021-02-02)
      Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. ...

    • openAccess   Rotation-Invariant Deep Embedding for Remote Sensing Images 

      kang, jian; Fernandez-Beltran, Ruben; Wang, Zhirui; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-06-28)
      Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ...

    • openAccess   Sentinel-3 Super-Resolution Based on Dense Multireceptive Channel Attention 

      Fernández, Rafael; Fernandez-Beltran, Ruben; kang, jian; Pla, Filiberto IEEE (2021-07-16)
      The unprecedented availability of remote sensing data from different complementary Sentinel missions provides increasing opportunities to alleviate the spatial limitations of Sentinel-3 (S3) from an intersensor perspective. ...

    • openAccess   Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing 

      Fernandez-Beltran, Ruben; Demir, Begüm; Pla, Filiberto; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-02-06)
      Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...