NDLI: Challenges and opportunities of multimodality and Data Fusion in Remote Sensing

Content Provider	IEEE Xplore Digital Library
Author	Dalla Mura, M. Prasad, S. Pacifici, F. Gamba, P. Chanussot, J.
Copyright Year	2014
Description	Author affiliation: DigitalGlobe Inc., CO, USA (Pacifici, F.) \|\| GIPSA-Lab., Grenoble Inst. of Technol., Grenoble, France (Dalla Mura, M.; Chanussot, J.) \|\| Univ. of Pavia, Pavia, Italy (Gamba, P.) \|\| Univ. of Houston, Houston, TX, USA (Prasad, S.)
Abstract	Remote sensing is one of the most common ways to extract relevant information about the Earth through observations. Remote sensing acquisitions can be done by both active (SAR, LiDAR) and passive (optical and thermal range, multispectral and hyperspectral) devices. According to the sensor, diverse information of Earth's surface can be obtained. These devices provide information about the structure (optical, SAR), elevation (LiDAR) and material content (multiand hyperspectral). Together they can provide information about land use (urban, climatic changes), natural disasters (floods, hurricanes, earthquakes), and potential exploitation (oil fields, minerals). In addition, images taken at different times can provide information about damages from floods, fires, seasonal changes etc. In this paper, we sketch the current opportunities and challenges related to the exploitation of multimodal data for Earth observation. This is done by leveraging the outcomes of the Data Fusion contests (organized by the IEEE Geoscience and Remote Sensing Society) which has been fostering the development of research and applications on this topic during the past decade.
Starting Page	106
Ending Page	110
File Size	247146
Page Count	5
File Format	PDF
ISBN	9780992862619
ISSN	20761465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Laser radar Change detection Data integration Pansharpening Classification Optical imaging Data fusion Optical sensors Spatial resolution Synthetic aperture radar Remote sensing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

SAR and optical data fusion for land use and cover change detection

Change detection in SAR images: spatial accuracy analysis

Analysis of binary land cover change detection methods using optical and radar data

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest

Fusion Of High Resolution Radar And Low Resolution Multi-spectral Optical Imagery

Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data

An alternative paradigm for data evaluation in remote sensing using multisensor data fusion

Challenges and opportunities of multimodality and Data Fusion in Remote Sensing

Similar Documents

Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

SAR and optical data fusion for land use and cover change detection

Change detection in SAR images: spatial accuracy analysis

Analysis of binary land cover change detection methods using optical and radar data

Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest

Fusion Of High Resolution Radar And Low Resolution Multi-spectral Optical Imagery

Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data

An alternative paradigm for data evaluation in remote sensing using multisensor data fusion

Challenges and opportunities of multimodality and Data Fusion in Remote Sensing