Road Identification in Landsat Thematic Mapper Imageryusing Pulse-coupled Neural Networks: an Initialassessment
نویسندگان
چکیده
Classifying roads in remotely sensed imagery has been addressed by a number of research efforts. Detecting these features is important for a variety of endeavors such as agricultural assessment and urban planning. This study investigates the viability of using a pulse-coupled neural network to recognize roads in Landsat-4 Thematic Mapper multispectral imagery.
منابع مشابه
Identification of Roads in Satellite Imagery Using Artificial Neural Networks: A Contextual Approach by
Humans can fairly easily identify roads in remote sensing images, but this has turned out to be a difficult task for computers. Most previous work in this area has utilized statistical and rule-based techniques, which depended primarily upon spectral information. However, it appears that spectral information alone is insufficient to identify roads in Landsat Thematic Mapper satellite imagery, s...
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