Objective class definitions using correlation of similarities between remotely sensed and environmental data

S. Andrefouet*, M. Claereboudt

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

16 اقتباسات (Scopus)

ملخص

This letter presents a natural approach for selecting a subset of environmental variables to define classes prior to mapping them efficiently using remotely sensed data. The procedure is based on correlation calculations between a set of 'environmental' similarity matrices and an 'image' similarity matrix. The correlation is a modified Spearman rank correlation. Using a SPOT-HRV image and seven environmental variables, an application in a coral reef environment showed that only three environmental variables are relevant to defining classes prior to mapping.

اللغة الأصليةEnglish
الصفحات (من إلى)1925-1930
عدد الصفحات6
دوريةInternational Journal of Remote Sensing
مستوى الصوت21
رقم الإصدار9
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يناير 1 2000

ASJC Scopus subject areas

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