Multisource and Multitemporal Data Fusion in Remote Sensing A comprehensive review of the state of the art

被引：408

作者：

Ghamisi, Pedram ^{[1
]}

Rasti, Behnood ^{[2
,3
,4
]}

Yokoya, Naoto ^{[5
,6
,7
,8
,9
]}

Wang, Qunming ^{[10
,11
]}

Hoefle, Bernhard ^{[12
,13
,14
]}

Bruzzone, Lorenzo ^{[15
,16
]}

Bovolo, Francesca ^{[17
,18
]}

Chi, Mingmin ^{[19
,20
]}

Anders, Katharina ^{[21
,22
]}

Gloaguen, Richard ^{[23
,24
]}

Atkinson, Peter M. ^{[25
,26
,27
]}

Benediktsson, Jon Atli ^{[2
]}

机构：

[1] Helmholtz Zentrum Dresden Rossendorf, Machine Learning Grp, Dresden, Germany

[2] Univ Iceland, Reykjavik, Iceland

[3] Keilir Inst Technol, Reykjanesbaer, Iceland

[4] Univ Iceland, Dept Elect & Comp Engn, Reykjavik, Iceland

[5] Univ Tokyo, Tokyo, Japan

[6] Japan Soc Promot Sci, Tokyo, Japan

[7] German Aerosp Ctr, Oberpfaffenhofen, Germany

[8] Tech Univ Munich, Munich, Germany

[9] RIKEN, Geoinformat Unit, Ctr Adv Intelligence Project, Tokyo, Japan

[10] Tongji Univ, Coll Surveying & Geoinformat, Shanghai, Peoples R China

[11] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England

[12] Heidelberg Univ, GISci & 3D Spatial Data Proc, Inst Geog, Heidelberg, Germany

[13] Heidelberg Univ, 3D Spatial Data Proc, Inst Geog, Heidelberg, Germany

[14] Heidelberg Univ, 3DGeo Res Grp, Interdisciplinary Ctr Sci Comp, Heidelberg, Germany

[15] Univ Trento, Telecommun, Trento, TN, Italy

[16] Univ Trento, Remote Sensing Lab, Dept Informat Engn & Comp Sci, Trento, TN, Italy

[17] Fdn Bruno Kessler, Remote Sensing Digital Earth Unit, Trento, Italy

[18] Remote Sensing Lab Trento, Trento, Italy

[19] Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China

[20] Shanghai Key Lab Data Sci, Shanghai, Peoples R China

[21] Heidelberg Univ, 3D Geospatial Data Proc Grp, Inst Geog, Heidelberg, Germany

[22] Heidelberg Univ, Interdisciplinary Ctr Sci Comp, Heidelberg, Germany

[23] Royal Holloway Univ London, Egham, Surrey, England

[24] Univ Bergakad Freiberg, Remote Sensing Grp, Freiberg, Germany

[25] Queens Univ Belfast, Belfast, Antrim, North Ireland

[26] Univ Southampton, Southampton, Hants, England

[27] Chinese Acad Sci, Beijing, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2019年 / 7卷 / 01期

关键词：

LAND-COVER TRANSITIONS; SPATIOTEMPORAL REFLECTANCE FUSION; SPECTRAL RESOLUTION IMAGES; PAN-SHARPENING METHOD; LASER-SCANNING DATA; LIDAR DATA; HYPERSPECTRAL IMAGE; TIME-SERIES; EXTINCTION PROFILES; ATTRIBUTE PROFILES;

D O I：

10.1109/MGRS.2018.2890023

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The recent, sharp increase in the availability of data captured by different sensors, combined with their considerable heterogeneity, poses a serious challenge for the effective and efficient processing of remotely sensed data. Such an increase in remote sensing and ancillary data sets, however, opens up the possibility of utilizing multimodal data sets in a joint manner to further improve the performance of the processing approaches with respect to applications at hand. Multisource data fusion has, therefore, received enormous attention from researchers worldwide for a wide variety of applications. Moreover, thanks to the revisit capability of several. © 2013 IEEE.

引用

页码：6 / 39

页数：34

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