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

Yükleniyor...
Küçük Resim

Tarih

2021

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Erişim Hakkı

info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 United States

Özet

With the development of remote sensing techniques, the fusion of multimodal data, particularly hyperspectralLight 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.

Açıklama

Anahtar Kelimeler

hyperspectral (HS) image, Light Detection And Ranging (LiDAR), Synthetic Aperture Radar (SAR), multi-modal data fusion, review

Kaynak

Annual Reviews in Control

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

51

Sayı

Künye