A comprehensive review of hyperspectral data fusion with lidar and sar data

Kahraman S., Bacher R.

Annual Reviews in Control, cilt.51, ss.236-253, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 51
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.arcontrol.2021.03.003
  • Dergi Adı: Annual Reviews in Control
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.236-253
  • Anahtar Kelimeler: hyperspectral (HS) image, Light Detection And Ranging (LiDAR), multi-modal data fusion, review, Synthetic Aperture Radar (SAR)
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

With the development of remote sensing techniques, the fusion of multimodal data, particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR, has become an important research field in numerous application areas. Multispectral, HS, LiDAR, and Synthetic Aperture Radar (SAR) images contain detailed information about the monitored surface that are complementary to each other. Thus, data fusion methods have become a promising solution to obtain high spatial resolution remote-sensing images. The main point of this review paper is to classify hyperspectral-LiDAR and hyperspectral-SAR data fusion with approaches. Moreover, recent achievements in the fusion of hyperspectral-LiDAR and hyperspectral-SAR data are highlighted in terms of faced challenges and applications. Most frequently used data fusion datasets that include IEEE GRSS Data Fusion Contests are also described.