topography is chosen as a test area. Firstly, pan-sharpened QuickBird image is produced by fusion of high resolution QuickBird PAN and MS images. Then, the buildings and road network features from these datasets are extracted by first dividing it into the segments and classified using the spectral, spatial

The orientation field of a fingerprint is crucial for fea-ture extraction and matching. However, estimation of ori-entation fields in latents is very challenging because latents are usually of poor quality. Inspired by the superiority of convolutional neural networks (ConvNets) for various clas

Abstract—This paper addresses the problem of updating road digital maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a ‘phase field’. In order to overcome

This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a ‘phase field’. In order to overcome

In the satellite images, built up area is manifested as texture. Therefore, built up area analysis can be approached using texture concepts. It is observed in many gray scale high resolution satellite images that building tops, ground, vegetation and roads have almost same gray value variations

This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a ‘phase field’. In order to overcome

has been the subject of extensive research for the past decade. Feature extraction approaches are diverse especially for linear features whose major methodologies are: fusion-based, fuzzy-based, mathematical morphology, model-based approach, dynamic programming and multiscale grouping. In this paper

ABSTRACT: This study is going to use remote sensing technique for the estimation of the age of the oil palm using a high-resolution satellite data (Worldview-2). The complexity of the determination of oil palm age from the satellite data is that age information cannot be extracted easily due

of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly

image classification and object recognition problems. Due to the high resolution of digital aerial photographs, compression and characterization of the image content is an essential part of the process. While many methods are available for this, an over-sampled, multi-resolution form of the Haar wavelet