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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 wavelet-based method for the determination of the relative resolution between remotely sensed images [PDF]
, 2006 Spatial resolution is a key parameter of all remote sensing satellites and platforms. The nominal spatial resolution of satellites is a well-known characteristic because it is directly related to the area in ground that represents a pixel in the detector.
Fors Aldrich, Octavi +11 more
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Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis
Remote Sensing, 2023 Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv +4 more
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Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints
, 2010 Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that multi-sensor devices capture the images at different times, multi-spectral image registration is necessary for data fusion of the images.
Pickering, Mark R +10 more
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A Multi-scale features-based cloud detection method for Suomi-NPP VIIRS day and night imagery [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesCloud detection is a necessary step before the application of remote sensing images. However, most methods focus on cloud detection in daytime remote sensing images.
J. Li +5 more
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IEEE Access, 2020 Road edge detection from remote sensing images, as an important ground object type, plays an important role in people’s life and travel and urban planning and development, and extracting road information from remote sensing images has practical ...
Chen Guobin, Zengwu Sun, Li Zhang
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Remote Sensing, 2021 High spatial quality (HQ) optical remote sensing images are very useful for target detection, target recognition and image classification. Due to the influence of imaging equipment accuracy and atmospheric environment, HQ images are difficult to acquire,
Xubin Feng +3 more
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An interpretable approach for automatic aesthetic assessment of remote sensing images
Frontiers in Computational Neuroscience, 2022 The increase of remote sensing images in recent decades has resulted in their use in non-scientific fields such as environmental protection, education, and art.
Jingru Tong +6 more
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RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning
Remote Sensing, 2022 Maps can help governments in infrastructure development and emergency rescue operations around the world. Using adversarial learning to generate maps from remote sensing images is an emerging field.
Jieqiong Song +3 more
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Introduction to remote sensing image registration [PDF]
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 For many applications, accurate and fast image registration of large amounts of multi-source data is the first necessary step before subsequent processing and integration. Image registration is defined by several steps and each step can be approached by various methods which all present diverse advantages and drawbacks depending on the type of data ...
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