Results 11 to 20 of about 8,937 (214)
MOSAICKING VERY-HIGH-RESOLUTION HELICOPTER-BORNE IMAGES ACQUIRED OVER DRIFTING ARCTIC SEA ICE USING COTS SENSORS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In order to observe and record conditions of the sea ice efficiently and specifically during in-situ investigation with the support of icebreaker research vessel (IBRV), the very-high-resolution (VHR) imaging systems have been used in recent past.
C. U. Hyun, H. C. Kim
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FCCDN: Feature constraint network for VHR image change detection
ISPRS Journal of Photogrammetry and Remote Sensing, 2022 46 pages, 16 figures. Submitted to ISPRS Journal of Photogrammetry and Remote Sensing.
Chen, Pan +5 more
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BUILDING EXTRACTION FROM VERY HIGH-RESOLUTION SATELLITE IMAGES FOR MAP UPDATING IN EGYPT [PDF]
JES: Journal of Engineering Sciences, 2020 Robust building detection from satellite images has been a subject of interest for several decades. Very High Resolution (VHR) satellite images support the efficient extraction of manmade objects.
Mostafa H. Shoaib +2 more
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URBAN BUILDING COLLAPSE DETECTION USING VERY HIGH RESOLUTION IMAGERY AND AIRBORNE LIDAR DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 The increasing availability of very high resolution (VHR) remotely sensed images makes it possible to detect and assess urban building damages in the aftermath of earthquake disasters by using these data.
X. Wang, P. Li
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Annotating very high-resolution satellite imagery: A whale case study
MethodsX, 2023 The use of very high-resolution (VHR) optical satellites is gaining momentum in the field of wildlife monitoring, particularly for whales, as this technology is showing potential for monitoring the less studied regions.
Hannah Charlotte Cubaynes +6 more
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AUTOMATIC APPROACH TO VHR SATELLITE IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Abstract. In this paper, we present a proposition of a fully automatic classification of VHR satellite images. Unlike the most widespread approaches: supervised classification, which requires prior defining of class signatures, or unsupervised classification, which must be followed by an interpretation of its results, the proposed method requires no ...
P. Kupidura +2 more
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Remote Sensing, 2022 Recent developments in remote sensing technology have allowed us to observe the Earth with very high-resolution (VHR) images. VHR imagery scene classification is a challenging problem in the field of remote sensing.
Souleyman Chaib +5 more
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SELECTING TRAINING SAMPLES AUTOMATICALLY FROM VHR SATELLITE IMAGES FOR IMAGE CLASSIFICATION [PDF]
Sohag Engineering Journal, 2021 Classification is one of the most significant phases for remote sensing image interpretation. All the supervised classifiers need sufficient and efficient training samples, which are usually selected manually and labeled by visual inspection or field survey. Selecting training samples manually requires more time and human effort.
Mohamed Fawzy +2 more
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BUILDING EXTRACTION BASED ON OPENSTREETMAP TAGS AND VERY HIGH SPATIAL RESOLUTION IMAGE IN URBAN AREA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data is introduced to offer vector contour information of buildings which is hard to get from VHR ...
L. Kang +4 more
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VHRS STEREO IMAGES FOR 3D MODELLING OF BUILDINGS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Abstract. The paper presents the project which was carried out in the Photogrammetric Laboratory of Warsaw University of Technology. The experiment is concerned with the extraction of 3D vector data for buildings creation from 3D photogrammetric model based on the Ikonos stereo images.
A. Bujakiewicz, M. Holc
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