Results 41 to 50 of about 46,904 (268)
IDENTIFICATION OF MISCLASSIFIED PIXELS IN SEMANTIC SEGMENTATION WITH UNCERTAINTY EVALUATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Classification, and in particular semantic segmentation, plays a major role in remote sensing. In remote sensing, the classes usually correspond to landcover or landuse types while the data elements are image pixels.
L. E. Budde, D. Bulatov, D. Iwaszczuk
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BUILDING CHANGE DETECTION IN VERY HIGH RESOLUTION SATELLITE STEREO IMAGE TIME SERIES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 There is an increasing demand for robust methods on urban sprawl monitoring. The steadily increasing number of high resolution and multi-view sensors allows producing datasets with high temporal and spatial resolution; however, less effort has been ...
J. Tian, R. Qin, D. Cerra, P. Reinartz
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AN EVALUATION OF STEREO AND MULTIVIEW ALGORITHMS FOR 3D RECONSTRUCTION WITH SYNTHETIC DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The reconstruction of 3D scenes from images has usually been addressed with two different strategies, namely stereo and multiview. The former requires rectified images and generates a disparity map, while the latter relies on the camera parameters and ...
M. Fuentes Reyes +3 more
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Computational ghost imaging for remote sensing [PDF]
Journal of the Optical Society of America A, 2012 Computational ghost imaging is a structured-illumination active imager coupled with a single-pixel detector that has potential applications in remote sensing. Here we report on an architecture that acquires the two-dimensional spatial Fourier transform of the target object (which can be inverted to obtain a conventional image).
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Remote Sensing, 2022 Deep learning is a popular topic in machine learning and artificial intelligence research and has achieved remarkable results in various fields. In geological remote sensing, mineral mapping is an appealing application of hyperspectral remote sensing for
Chuan Zhang +5 more
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Image Fusion Techniques in Remote Sensing
CoRR, 2014 Remote sensing image fusion is an effective way to use a large volume of data from multisensor images. Most earth satellites such as SPOT, Landsat 7, IKONOS and QuickBird provide both panchromatic (Pan) images at a higher spatial resolution and multispectral (MS) images at a lower spatial resolution and many remote sensing applications require both ...
Reham Gharbia +3 more
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A double transformer residual super-resolution network for cross-resolution person re-identification
Egyptian Journal of Remote Sensing and Space Sciences, 2023 Cross-resolution person re-identification is a challenging problem in the field of person re-identification. In order to solve the problem of resolution mismatch, many studies introduce super-resolution into person re-identification tasks.
Fuzhen Zhu, Ce Sun, Chen Wang, Bing Zhu
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COMBINATION OF VIRTUAL TOURS, 3D MODEL AND DIGITAL DATA IN A 3D ARCHAEOLOGICAL KNOWLEDGE AND INFORMATION SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The site of the Engelbourg ruined castle in Thann, Alsace, France, has been for some years the object of all the attention of the city, which is the owner, and also of partners like historians and archaeologists who are in charge of its study.
M. Koehl, N. Brigand
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FROM POINT CLOUD TO 3D MODEL, MODELLING METHODS BASED ON ARCHITECTURAL KNOWLEDGE APPLIED TO FORTRESS OF CHÂTEL-SUR-MOSELLE (FRANCE) [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 3D survey techniques applied to buildings such as photogrammetry and laser scanning produces a volume of data very important. Upon acquisition, the issue of data management greatly influences the acquisition parameters and production data. Contemporary
E. Alby, P. Grussenmeyer
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Manual Annotations Meet Fine-Tuned Foundation Models: A Comparison on Tree Crown Segmentation Task [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesAccurate segmentation of individual tree crowns (ITCs) from remote-sensing imagery is essential for forest monitoring and ecological analysis, yet remains challenging due to overlapping canopies and structural variability. The Segment Anything Model (SAM)
R. Ravindran +3 more
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