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Zifan Rong, Xuesong Jiang, Linfeng Huang and Hongping Zhou
Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs...
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Mutum Bidyarani Devi, Rajagopalan Devanathan
Pág. 166 - 181
Earth?s observation satellites, such as IKONOS, provide simultaneously multispectral and panchromatic images. A multispectral image comes with a lower spatial and higher spectral resolution in contrast to a panchromatic image which usually has a high spa...
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Massimiliano Pepe, Domenica Costantino, Vincenzo Saverio Alfio, Gabriele Vozza and Elena Cartellino
The aim of the paper is to identify a suitable method for the construction of a 3D city model from stereo satellite imagery. In order to reach this goal, it is necessary to build a workflow consisting of three main steps: (1) Increasing the geometric res...
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Wei Huang, Jingjing Feng, Hua Wang and Le Sun
In this paper, we propose a new architecture of densely connected convolutional networks for pan-sharpening (DCCNP). Since the traditional convolution neural network (CNN) has difficulty handling the lack of a training sample set in the field of remote s...
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Yalan Zheng, Qinling Dai, Zhigang Tu and Leiguang Wang
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Khan Rubayet Rahaman, Quazi K. Hassan and M. Razu Ahmed
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Rei Sonobe,Hiroshi Tani,Xiufeng Wang
Pág. 178 - 182
Aim of study: The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inven...
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