Different classification methods have been used for classification of satellite data by researchers. Addition to current classification, pixel-based methods, developments in segmentation and object oriented techniques offer the suitable analyses to classify satellite data. To compare the pixel-based with object-oriented classification approaches to extract forest types, a case study in a small ...

In this paper we prove that hyperbolic Julia sets are locally computable in polynomial time. Namely, for each complex hyperbolic polynomial p(z), there is a Turing machine Mp(z) that can “draw” the set with the precision 2 −n, such that it takes time polynomial in n to decide whether to draw each pixel. In formal terms, it takes time polynomial in n to decide for a point x whether d(x, Jp(z)) <...

In multi-dimensional image, ICA-based feature extraction algorithm, which is proposed in this paper, is for the purpose of detecting target feature about pixel assumed as a linear mixed spectrum sphere, which is consisted of each different type of material object (target feature and background feature) in spectrum sphere of reflectance of each pixel. Landsat ETM+ satellite image is consisted of...

We propose a novel method for semantic segmentation, the task of labeling each pixel in an image with a semantic class. Our method combines the advantages of the two main competing paradigms. Methods based on region classification offer proper spatial support for appearance measurements, but typically operate in two separate stages, none of which targets pixel labeling performance at the end of...

An improved high resolution object-based building extraction method based on Pixel Rectangle Index is presented in this paper. We use Minimum Span Tree optimal theory to realize object-based high resolution image segmentation. First, we proposed a rotation invariant Pixel Rectangle Index by introducing the principal direction of homogeneous area. Second, we improved the calculation of edge-weig...

In this paper, we propose a On-line kernel-PLS approach to improving both the robustness and accuracy of object tracking which is appropriate for real-time video surveillance. Typical tracking with color histogram matching provides robustness but has insufficient accuracy, because it does not involve spatial information. On the other hand, tracking with pixel-wise matching achieves accurate per...

An imager that can measure the distance from each pixel to the point on the object that is in focus at the pixel is described. This is accomplished by short photo-conducting lightguides at each pixel. In the eye the rods and cones are the fiber-like lightguides. The device uses ambient light that is only coherent in spherical shell-shaped light packets of thickness of one coherence length. Mode...

This paper presents a runand label-equivalence-based one-and-a-half-scan algorithm for labeling connected components in a binary image. Major di®erences between our algorithm and conventional label-equivalence-based algorithms are: (1) all conventional label-equivalencebased algorithms scan all pixels in the given image at least twice, whereas our algorithm scans background pixels once and obje...

J. J. Gibson suggested that objects in our environment can be represented by an agent in terms of the types of actions that the agent may perform on or with the object. This affordance representation allows the agent to make a connection between the perception of key properties of an object and these actions. In this paper, we explore the automatic construction of visual representations that ar...