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NOVEL METHOD FOR UNSUPERVISED FUZZY CHANGE DETECTION IN MULTISPECTRAL REMOTELY SENSED IMAGES

عنوان مقاله: NOVEL METHOD FOR UNSUPERVISED FUZZY CHANGE DETECTION IN MULTISPECTRAL REMOTELY SENSED IMAGES
شناسه ملی مقاله: ICMVIP03_037
منتشر شده در سومین کنفرانس ماشین بینایی و پردازش تصویر در سال 1383
مشخصات نویسندگان مقاله:

Arash Abadpour - Sharif University of Technology
Shohreh Kasaei - Sharif University of Technology

خلاصه مقاله:
Analysis of the multi–spectral remotely sensed images of the areas destructed by an earthquake is proved to be a helpful tool for construction assessments. In this paper, we propose a new fast and reliable fuzzy change detection method for multi–spectral images. The proposed fuzzy change detection method is mathematically and experimentally investigated and shown to be efficient and effective.

کلمات کلیدی:
Remote Sensing, Multispectral Image Analysis, Change Detection, Fuzzy Clustering

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/125766/