Results 161 to 170 of about 8,937 (214)

Query expansion for VHR image detection

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
In order to detect the objects of interest, many different approaches have been proposed. One kind of popular approaches are based on template matching, which use a template of the object class to match the image at different positions. The matching can be computed using similarity measures such as the correlation coefficient.
Huaxin Zheng, Huigang Zhang, Xiao Bai, Huijie Zhao   +3 more
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Urban scene classification with VHR images

2017 Joint Urban Remote Sensing Event (JURSE), 2017
Urban scenes refer to those spatial units that consist of diverse geographic objects but have special patterns, and thus can be abstracted as one scene category higher than object classes, such as residential areas, commercial areas, and industrial areas.
Shihong Du, Xiuyuan Zhang, null Luo Guo
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Geometrically Accurate Change Mapping From Vhr Sar Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The paper presents an efficient unsupervised change mapping algorithm for 1-look amplitude SAR images. The method exploits the complementary characteristics of two change features and proposes a morphological non-parametric map combination to produce the final change map.
Garzelli, Andrea, Zoppetti, Claudia
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Automatic archaeological feature extraction from satellite VHR images

Acta Astronautica, 2010
Abstract Archaeological applications need a methodological approach on a variable scale able to satisfy the intra-site (excavation) and the inter-site (survey, environmental research). The increased availability of high resolution and micro-scale data has substantially favoured archaeological applications and the consequent use of GIS platforms for ...
JAHJAH, munzer, ULIVIERI, Carlo
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Automatic Building Extraction from VHR Satellite Image

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT), 2018
A satellite image contains natural region such as soil and vegetation and man created regions such as roads and buildings. Among these the precise location and identification of building features is one of the key information sources for urban planning, population estimation, land analysis, and environmental surveying.
R. Avudaiamma, S. Dayana, R. Prabhu, A. Swarnalatha   +3 more
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An Object-Based Approach To VHR Image Classification

2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2020
This paper introduces a novel method for the classification of very high resolution, multispectral, remote sensing images. We combine the advantages of both pixel-based and object-based classification techniques. First, the pixels contained in the image are grouped into different batches, called segments, using the algorithm of superpixels.
Semcheddine Belkis Asma, Daamouche Abdelhamid   +1 more
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Supervised change detection in VHR images: A comparative analysis

2009 IEEE International Workshop on Machine Learning for Signal Processing, 2009
In this paper, a comparison between supervised change detectionmethods for Very High geometrical Resolution satellite images is considered. Methods commonly used for high and medium resolution are here confronted to the problem of exploiting very high resolution imagery, which is characterized by strong redundancy, high variances of information ...
M. Volpi, D. Tuia, M. Kanevski, Bovolo, Francesca, Bruzzone, Lorenzo   +4 more
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Local Multifractal Description of Bi-Temporal VHR Images

2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2019
In this work we apply local multifractal formalism to spectral bands of bi-temporal Very High Resolution (VHR) images. Analysis of the local multifractal description and its changes between images acquired in two points in time can be used to extract changes in the urban areas.
Sebastian Aleksandrowicz, Anna Wawrzaszek, Malgorzata Jenerowicz, Wojciech Drzewiecki, Michal Krupinski   +4 more
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Urban Change Detection from VHR Images via Deep-Features Exploitation

2021
Land cover change detection from remote sensing data is a crucial step in the periodic environmental monitoring, but also in the management of emergencies. In particular, the availability of Very High Resolution (VHR) images enables a detailed monitoring on urban, regional or larger scale.
Annarita D'Addabbo, Guido Pasquariello, Angelo Amodio   +2 more
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Fast Object-Level Change Detection for VHR Images

IEEE Geoscience and Remote Sensing Letters, 2010
A novel approach is presented for change detection of very high resolution images, which is accomplished by fast object-level change feature extraction and progressive change feature classification. Object-level change feature is helpful for improving the discriminability between the changed class and the unchanged class.
Chunlei Huo, Zhixin Zhou, Hanqing Lu, Chunhong Pan, Keming Chen   +4 more
openaire   +1 more source