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EVALUATION OF INFORMATION CONTENT AND FEATURE EXTRACTION CAPABILITY OF VERY HIGH RESOLUTION PAN-SHARPENED QUICKBIRD IMAGE

by A. M. Marangoz A, Z. Alkis B, S. Karakis A, Commission Vii
"... Nowadays, very high resolution (VHR) satellite images are used for many applications by the developments in the remote sensing technologies. Main application field for remotely sensed data is the large-scale topographic mapping and map revisions for which it is necessary to detect and extract the ob ..."
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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

Latent Orientation Field Estimation via Convolutional Neural Network

by Kai Cao, Anil K. Jain
"... 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-sifi ..."
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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

Incorporating Generic and Specific Prior Knowledge in a Multi-Scale Phase Field Model for Road Extraction from VHR Images

by Ting Peng, Ian H. Jermyn, Véronique Prinet, Josiane Zerubia
"... 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 the ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
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

Incorporating Generic and Specific Prior Knowledge in a Multi-Scale Phase Field Model for Road Extraction from VHR Images

by Véronique Prinet, Josiane Zerubia, Ting Peng, Ian H. Jermyn, Josiane Zerubia , 2016
"... 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 the difficult ..."
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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

GABOR FILTER AND NEURAL NET APPROACH FOR BUILT UP AREA MAPPING IN HIGH RESOLUTION SATELLITE IMAGES

by Sangeeta Kharea, Savitha D. K. B, S. C. Jain A
"... 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 and ..."
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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

Knowledge in a Multi-Scale Phase Field Model

by Ting Peng, Ian H. Jermyn, Josiane Zerubia , 2008
"... 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 the difficult ..."
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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

AUTOMATIC LINEAR FEATURE EXTRACTION OF IRANIAN ROADS FROM HIGH RESOLUTION MULTI-SPECTRAL SATELLITE IMAGERY

by A. Mohammadzadeh A, A. Tavakoli B, M. J. Valadan Zoej A
"... Attaining geospatial information is a challenge for many scientific practitioners. Such information is a necessary tool for spatial decision making. Remote Sensing (RS) is the leading art/science providing the data for many global or local applications such as: green house effect, pollution, militar ..."
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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

REMOTE SENSING TECHNIQUE FOR ESTIMATING THE AGE OF OIL PALM USING HIGH RESOLUTION IMAGE

by Siti Aishah Mansora, Md Latifur
"... 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 to simi ..."
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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

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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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

A classification approach to finding buildings in large scale aerial photographs

by C. J. Bellman, M. R. Shortis - Int. Arch. Photogrammetry Remote Sensing , 2004
"... Automatic building extraction remains an open research problem in digital photogrammetry. While many algorithms are proposed for building extraction, none of these solve the problem completely. One of their limitations is in the initial detection of the presence or absence of a building in the image ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
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
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