Results 1 to 10 of about 8,937 (214)
IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more
Z. Li +5 more
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PANSHARPENING TECHNIQUES TO DETECT MASS MONUMENT DAMAGING IN IRAQ [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The recent mass destructions of monuments in Iraq cannot be monitored with the terrestrial survey methodologies, for obvious reasons of safety. For the same reasons, it’s not advisable the use of classical aerial photogrammetry, so it was obvious to ...
V. Baiocchi +3 more
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Aircraft Detection from VHR Images Based on Circle-Frequency Filter and Multilevel Features [PDF]
The Scientific World Journal, 2013 Aircraft automatic detection from very high-resolution (VHR) images plays an important role in a wide variety of applications. This paper proposes a novel detector for aircraft detection from very high-resolution (VHR) remote sensing images.
Feng Gao, Qizhi Xu, Bo Li
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International Journal of Applied Earth Observations and Geoinformation, 2023 In Somalia’s drylands, charcoal production is a major driver of forest degradation enabled by civil conflict and institutional weakness. Up to now, the extent and exact location of charcoal production has usually been estimated by visually detecting ...
Astrid Verhegghen +6 more
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Incorporating inconsistent auxiliary images in haze removal of very high resolution images
International Journal of Applied Earth Observations and Geoinformation, 2023 Haze contamination is a common issue in very high resolution (VHR) remote sensing images, which inevitably hinders their application. The use of auxiliary images has been a key trend for enhancing haze removal.
Xiaofeng Ma, Qunming Wang, Xiaohua Tong
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International Journal of Digital Earth, 2023 Automatic extraction of tailing ponds from Very High-Resolution (VHR) remotely sensed images is vital for mineral resource management. This study proposes a Pseudo-Siamese Visual Geometry Group Encoder-Decoder network (PSVED) to achieve high accuracy ...
Chengye Zhang +4 more
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Embedded Implementation of VHR Satellite Image Segmentation [PDF]
Sensors, 2016 Processing and analysis of Very High Resolution (VHR) satellite images provide a mass of crucial information, which can be used for urban planning, security issues or environmental monitoring. However, they are computationally expensive and, thus, time consuming, while some of the applications, such as natural disaster monitoring and prevention ...
Li, Chao +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Built-up area change detection (CD) plays an important role in city management, which always uses very high spatial resolution (VHR) remote sensing data to extract refined spatial information. Recently, many CD models based on deep learning with VHR data
Haoyang Li +4 more
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A GENERATIVE ADVERSARIAL NETWORK APPROACH FOR SUPER-RESOLUTION OF SENTINEL-2 SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 High-resolution satellite images have always been in high demand due to the greater detail and precision they offer, as well as the wide scope of the fields in which they could be applied; however, satellites in operation offering very high-resolution ...
F. Pineda +3 more
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COMBINING LOCAL FEATURES AND PROGRESSIVE SUPPORT VECTOR MACHINE FOR URBAN CHANGE DETECTION OF VHR IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The difficulties about change detection of VHR images are analyzed from different perspectives. Motivated by perception and cognition mechanism of human vision, visual change detection principles are discussed, and a unified change detection framework is
C. Huo, B. Fan, C. Pan, Z. Zhou
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