DETERMINATION OF LAND COVER/LAND USE USING SPOT 7 DATA WITH SUPERVISED CLASSIFICATION METHODS
نویسندگان
چکیده
منابع مشابه
Determination of Best Supervised Classification Algorithm for Land Use Maps using Satellite Images (Case Study: Baft, Kerman Province, Iran)
According to the fundamental goal of remote sensing technology, the image classification of desired sensors can be introduced as the most important part of satellite image interpretation. There exist various algorithms in relation to the supervised land use classification that the most pertinent one should be determined. Therefore, this study has been conducted to determine the best and most su...
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15 صفحه اولLand use and Land Cover Classification using RGB&L Based Supervised Classification Algorithm
After the Geometric correction and resampling the image should be classified. This paper introduced a new method for classifying the areas in a remotely sensed image under the category of supervised classification techniques. This classification technique describes how to classify the geographical areas in given image under supervised classification techniques conventions. So to tell the abstra...
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A large number of spatial feature extraction methods were developed during the past 20 years. The effectiveness of each method has been assessed in different studies using different data. However, there have been few application-oriented studies made to evaluate the relative powers of these methods in a particular environment. In this study, three spatial feature extraction methods have been co...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w1-143-2016