This paper investigates the performance of a spatio-spectral template on Ikonos imagery to automatically detect small recreational boats. The spatio-spectral template is employed which is then enhanced through use of a weighted Euclidean distance metric adapted from the Mahalanobis distance metric. The purpose is to assist the Canadian Coast Guard in gathering data on recreational boating for t...

Improvement in remote sensing techniques in spatial/spectral resolution strengthens their applicability for urban environmental study. Unfortunately, high spatial resolution imagery also increases internal variability in land cover units and can cause a ‘salt-and-pepper’ effect, resulting in decreased accuracy using pixel-based classification results. Region-based classification techniques, usi...

This study develops a cartographic index of forest stands vigour from Ikonos imagery data. The study area located at GOUNAMITZ (New-Brunswick, Canada) consists mainly of fir, tolerant and intolerant hardwoods at mature and overmature stages. Forest inventory plots were set up in the stands; dendrometric measures (height, DBH, annual increment, etc.) were collected and used to estimate reference...

Habitat mapping can be accomplished using many techniques and types of data. There are pros and cons for each technique and dataset, therefore, the goal of this project was to investigate the capabilities of new satellite sensor technology and to assess map accuracy for a variety of image classification techniques based on hundreds of field-work sites. The study area was Masonboro Island, an un...

Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This paper proposes a system for increasing the degree of automation in extraction of building features with different rooftops from high resolution Multispectral satellite images (e.g., IKONOS and Qui...

one of the most important information in urban forestry is acquaintance of urban landscape’s area or proportion. nowadays, in several countries variable methods are used to achieve this aim. since there is not any complete method to study urban forest’s status in iran, it is impossible to exert authentic management for these resources. hence, in this research, sampling methods and ikonos satell...

Affected by solar radiation, atmospheric windows, radiation aberrations, and other air sky environmental factors, remote sensing images usually contain a large amount of noise suffer from problems such as non-uniform image feature density. These bring great difficulties to the segmentation high-precision image. To improve effect images, this study adopted an improved metaheuristic algorithm opt...