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COMBINED SUPERVISED CLASSIFICATION METHODS IN REMOTE SENSING FOR THE EVALUATION OF FOREST DYNAMICS ALONG THE SLOPES OF MOUNT CAMEROON
Mount Cameroon Remote Sensing Forest cover Lava flow National Advanced School of Engineering
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2015/12/29
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...
Supervised classification of water regions from lidar data in the Wadden Sea using a fuzzy logic concept
lidar laser scanning classification fuzzy logic water
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2015/11/10
The Wadden Sea is an almost untouched area with a size of about 7300 km2 along the German, Dutch and Danish coast. Because of tide the area is flooded two times a day, creating a very special and sens...
A SUPERVISED CLASSIFICATION APPROACH TOWARDS QUALITY SELF-DIAGNOSIS OF 3D BUILDING MODELS USING DIGITAL AERIAL IMAGERY
Quality Self-diagnosis Consistency Image-based measures Performance evaluation Classification 3D City Models
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2015/8/31
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
semi-supervised classification based on gauss mixture model for remote imagery
Virtual Globe Remote Sensing Image Thematic Information Semi-Supervised Classification Gauss Mixture Model EM algorithms
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2016/4/11
Virtual globes support users with remote images from multiple sources, and support data analysis, information extraction and even knowledge discovery. But when extracting thematic information, those r...