The contrast of an image is a feature which determines how image looks better visually. In this paper, we are analysing the capability of activation functions for contrast enhancement. Activation functions are classically used in neural network. In this paper, Activation function creates a mask which is operated on the image on pixel by pixel basis. On the basis of activation function the pixel...

This paper presents a methodology for quantifying the number of buildings that collapsed following the Bam earthquake. The approach is ‘object’ rather than ‘pixel’-oriented, commencing with the inventory of buildings as objects within high-resolution Quickbird satellite imagery captured before the event. The number of collapsed structures is computed based on the unique statistical characterist...

Along with the significant improvement of spatial resolution of remote sensing imagery in the recent years, traditional per-pixel based classification techniques have been facing increasing problems in achieving acceptable classification results. Object-oriented classification has become a promising alternative for classifying high-resolution remote sensing imagery, such as QuickBird, Ikonos or...

The goal of this paper is to provide an accurate pixel-level segmentation of a deformable foreground object in an image. We combine state-of-the-art local image segmentation techniques with a global object-specific contour model to form a coherent energy function over the outline of the object and the pixels inside it. The energy function includes terms from a variant of the TextonBoost method,...

We delineate an overall performance comparison between the two most popular classification techniques: Pixel-Based and ObjectBased of remote sensing. Object based image analysis has been widely used as a common paradigm in the analysis of high resolution remotely sensed satellite data which is used to extract the meaningful information for updating the GIS data. Both techniques have their own p...

FAST is an algorithm proposed originally by Rosten and Drummond [1] for identifying interest points in an image. An interest point in an image is a pixel which has a well-defined position and can be robustly detected. Interest points have high local information content and they should be ideally repeatable between different images [2]. Interest point detection has applications in image matching...

High resolution images offer rich contextual information, including spatial, spectral and contextual information. In order to extract the information from these high resolution images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed data, only spectral information ...

Resource stratification for ground-based and remotely-sensed methods of rangeland assessment is essential for locating appropriate sampling sites. This is particularly the case when site comparisons are required, as in the case of grazing gradient analysis, wherein the objective is to limit the number of environmental variables. This study compared stratified units derived from supervised, unsu...