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Many objects in the naturalenvironment are generated from the background and even transformed by nature or human beings. Thus, they do not have closed and well-defined boundaries in remote sensing imagery.
Guangle Yao +6 more
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A color balancing method for wide range Remote Sensing imagery based on Regionalization [PDF]
Quick mosaicking of wide range remote sensing imagery is an important foundation for land resource survey and dynamic monitoring of environment and nature disasters.
J. Liu, H. T. Li, H. Y. Gu
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AerialWaste dataset for landfill discovery in aerial and satellite images
Measurement(s) Landfills detections in very high-resolution remote sensing imagery Technology Type(s) remote sensing imagery Sample Characteristic - Environment landfill Sample Characteristic - Location Region of ...
Rocio Nahime Torres, Piero Fraternali
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In the case of low content of heavy metals in soil, the hyperspectral characteristic response of heavy metals is very weak, so it is difficult to construct an accurate direct hyperspectral inversion model.
WANG Jianhua +7 more
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Commonly used image fusion techniques generally produce good results for images obtained from the same sensor, with a standard ratio of spatial resolution (1:4).
Aleksandra Sekrecka, Michal Kedzierski
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Object detection has always been a challenging task in the field of computer vision due to complex background, large scale variation and many small objects, which are especially pronounced for remote sensing imagery.
Yangyang Li +5 more
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In the last few years, Unmanned Aerial Vehicles (UAVs) equipped with compact digital cameras, have become a cheap and efficient alternative to classic aerial photogrammetry and close-range photogrammetry.
Damian Wierzbicki, Marcin Nienaltowski
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USE OF OPENLY AVAILABLE SATELLITE IMAGES FOR REMOTE SENSING EDUCATION [PDF]
With the advent of Google Earth, Google Maps, and Microsoft Bing Maps, high resolution satellite imagery are becoming more easily accessible than ever.
C.-K. Wang
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Measurement using terrestrial laser scanning is performed at several stations to measure an entire object. In order to obtain a complete and uniform point cloud, it is necessary to register each and every scan in one local or global coordinate system ...
Anna Fryskowska
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Haze Detection and Removal in Remotely Sensed Multispectral Imagery [PDF]
Haze degrades optical data and reduces the accuracy of data interpretation. Haze detection and removal is a challenging and important task for optical multispectral data correction. This paper presents an empirical and automatic method for inhomogeneous haze detection and removal in medium- and high-resolution satellite optical multispectral images ...
Makarau, Aliaksei +3 more
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