A sensor-driven domain adaptation method for the classification of remote sensing images

Claudia Paris, Lorenzo Bruzzone

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, a sensor-driven domain adaptation method is proposed for the classification of remote sensing images. The method aims at classifying an image where ground truth is not available exploiting the reference data acquired on a different but related image. This is done by taking advantage from a sensor-driven strategy that exploits the invariance of the measurements of some sensors on some classes for adaptation. This invariant property allows us to infer labels on a subset of unlabeled samples of the image that should be classified, thus introducing constrains on the adaptation process. The proposed method is based on two main steps: i) adaptation based on a sensor-driven label inference method for a subset of classes characterized by spatial invariant behaviour; and ii) adaptation based on machine learning for the remaining classes. The proposed method has been validated on 2 different datasets, where LiDAR data, hyperspectral images and high resolution optical images have been considered.
Original languageEnglish
Title of host publication2014 IEEE International Geoscience & Remote Sensing Symposium
Subtitle of host publicationProceedings
PublisherIEEE
Pages185-188
Number of pages4
ISBN (Electronic)978-1-4799-5775-0
DOIs
Publication statusPublished - 6 Nov 2014
Externally publishedYes
EventJoint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS): Energy and our Changing Planet - Quebec City Convention Centre, Quebec, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

Name
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceJoint International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS)
Abbreviated titleIGARSS 2014
Country/TerritoryCanada
CityQuebec
Period13/07/1418/07/14

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