Hyperspectral imagery has emerged as a popular sensing modality for a variety of applications, and sparsity based methods were shown to be very effective to deal with challenges coming from high dimensionality in most hyperspectral classification problems. In this work, we challenge the conventional approach to hyperspectral classification, that typically builds sparsity-based classifiers direc...

The advances in sensors development and data acquisition techniques increasingly contribute to the quality and quantity of imagery data. The challenges that remote sensing communities are facing today are no longer the lack of imagery data, on the contrary, we are overwhelmed by the vast amount of data collected from various sources. To maximize the usage and distribution of the data, an effici...

Area estimation is widely used in forestry applications and can greatly affect how forest land is managed. This study examined whether image attributes and interpreters affected area estimation and management activities used in forestry practices. Seven interpreters, chosen for this study, delineated stands on two different images of the same area. Results from these interpretations were then e...

Eye movements during mental imagery are not epiphenomenal but assist the process of image generation. Commands to the eyes for each fixation are stored along with the visual representation and are used as spatial index in a motor-based coordinate system for the proper arrangement of parts of an image. In two experiments, subjects viewed an irregular checkerboard or color pictures of fish and we...

Eye movements during mental imagery are not epiphenomenal but assist the process of image generation. Commands to the eyes for each fixation are stored along with the visual representation and are used as spatial index in a motor-based coordinate system for the proper arrangement of parts of an image. In two experiments, subjects viewed an irregular checkerboard or color pictures of fish and we...

Road information is essential for automatic GIS (geographical information system) data acquisition, transportation and urban planning. Automatic road (network) detection from high resolution satellite imagery will hold great potential for significant reduction of database development/updating cost and turnaround time. From so called low level feature detection to high level contextsupported gro...

Vehicle-based mobile mapping systems capture co-registered imagery and 3D point cloud information over hundreds of kilometres of transport corridor. Methods for extracting information from these large datasets are labour intensive. These need to be easily configured by non-expert users to process images and develop new workflows. Image Engineering provides a framework to combine known image pro...