Volume 7 Issue 4 - November 2016

  • 1. Spatial data mining on remote sensing perspective

    Authors : Josephina Paul

    Pages : 259-267

    DOI : http://dx.doi.org/10.21172/1.74.036

    Keywords : Knowledge discovery, Remote sensing, Satellite images, Spatial data mining

    Abstract :

    Spatial data mining has been evolved as a special branch of data mining since the last two decades as the conventional data mining algorithms fail to produce good results from large spatial databases. Satellite images carry rich information of the geographical coverage area, which can be harnessed using efficient algorithms that consider spatial aspects into, while processing. Several algorithms, that are build up on the state-of-the‚Äďart techniques such as AI, ANN, SVM, Fuzzy logic, and are categorized into the classical grouping of clustering, classification and frequent pattern mining have grown dimensionally and have stretched into multidisciplinary research areas. In this letter, we will discuss the various efforts taken in the last two decades in the field of spatial data mining on the perspective of satellite/ remote sensing images.

    Citing this Journal Article :

    Josephina Paul, "Spatial data mining on remote sensing perspective", https://www.ijltet.org/journal_details.php?id=909&j_id=3532, Volume 7 Issue 4 - November 2016, 259-267, #ijltetorg