Linear Inverse Problem (LIP) Optimisation for Remote Sensing Applications - Spectral Reconstruction

Date

2018-11-15 13:26

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Presentation

ISSN

Format

Citation

Chatterjee, Ayan (2018). Linear Inverse Problem (LIP) Optimisation for Remote Sensing Applications - Spectral Reconstruction. Cranfield Online Research Data (CORD). Presentation. https://doi.org/10.17862/cranfield.rd.7346627.v1

Abstract

3MT presented at the 2018 Defence and Security Doctoral Symposium.Remote sensing applications like classification and target detection, particularly for high demanded applications such as the detection of difficult targets from cluttered scene, depends on relevant wavelengths of information. While multispectral imagery in airborne or spaceborne platforms consists of a few wavelengths far apart from each other (usually less than 20 bands), which is found not sufficient enough. This project explores new concepts for using not only spatial/spectral information, but also to extract new information from the few bands in the input data for an enhanced spectral mixture analysis.

Description

Software Description

Software Language

Github

Keywords

'Spectral reconstruction', 'Inverse problem', 'Hyperspectral', 'DSDS18 3MT', 'DSDS18', 'Photogrammetry and Remote Sensing'

DOI

10.17862/cranfield.rd.7346627.v1

Rights

CC BY 4.0

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