Emerging Issues in Land Remote Sensing View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Shunlin Liang , Michael Schaepman , Thomas J. Jackson , David Jupp , Xiaowen Li , Jiyuan Liu , Ronggao Liu , Alan Strahler , John R. Townshend , Diane Wickland

ABSTRACT

This chapter summarizes the key questions and issues discussed by three review panels in the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS) held in October 2005 in Beijing. The panels focused on remote sensing systems and sensors, modeling and inversion, and remote sensing applications. Some emerging issues in land remote sensing are presented, including sensor networks, modeling complex landscapes, machine learning techniques for inversion, and spatial scaling. More... »

PAGES

485-494

References to SciGraph publications

  • 2006-08. Rule-Based Learning Systems for Support Vector Machines in NEURAL PROCESSING LETTERS
  • 2004. Rule Extraction by Seeing Through the Model in NEURAL INFORMATION PROCESSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4020-6450-0_19

    DOI

    http://dx.doi.org/10.1007/978-1-4020-6450-0_19

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1043275853


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