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2 articles for “VHR satellite images”

• Published Subscription 20 Sep 2015

  Proposed Algorithm for Shadow Identification and Classification in VHR Satellite Imagery

  By Anjali jayant Panchal, Imdad A. Rizvi, M. M. Kadam

  Abstract: The Very High Resolution (VHR) satellite imagery offers great possibilities for urban environments. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image, leading to potentially corrupted classification results or blunders in interpretation. The objective of this paper is to propose an algorithm for better identification and classification of shadows in VHR images. Two prime stages were carried out i.e. shadow identification and …

  Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 33–44 Read article →

• Published Subscription 26 Apr 2019

  Potential of Semi-automatic Object-based Land Cover Classifications using Very High Resolution Satellite Images: Tetuan-city Comparison Case Study

  By Omar Benarchid, Naoufal Raissouni

  Abstract: Nowadays, mapping agencies need to update their topographic and information systems databases in order to draw: (i) urban planning (e.g., urban sprawl, road networks, etc.), and (ii) environmental planning (e.g., ecological corridors, forest change, etc.). In this context, object-based land cover classifications using very-high resolution satellites (VHRS) images (e.g., IKONOS, QuickBird, GeoEye WorldView-2, and recently Pléaides) are interesting tools to satisfy the needs of both scientific community and decision makers …

  Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 19–29 Read article →