Soft Computing Techniques for Change Detection in remotely sensed images : A Review

نویسندگان

  • Madhu Khurana
  • Vikas Saxena
چکیده

With the advent of remote sensing satellites, a huge repository of remotely sensed images is available. Change detection in remotely sensed images has been an active research area as it helps us understand the transitions that are taking place on the Earth’s surface . This paper discusses the methods and their classifications proposed by various researchers for change detection. Since use of soft computing based techniques are now very popular among research community, this paper also presents a classification based on learning techniques used in soft-computing methods for change detection.

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عنوان ژورنال:
  • CoRR

دوره abs/1506.00768  شماره 

صفحات  -

تاریخ انتشار 2015