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Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion [PDF]
Sensors, 2021 The rapid development of remote sensing and space technology provides multisource remote sensing image data for earth observation in the same area. Information provided by these images, however, is often complementary and cooperative, and multisource ...
Liangliang Li, Hongbing Ma
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Remote Sensing Image Fusion Based on Morphological Convolutional Neural Networks with Information Entropy for Optimal Scale [PDF]
Sensors, 2022 Remote sensing image fusion is a fundamental issue in the field of remote sensing. In this paper, we propose a remote sensing image fusion method based on optimal scale morphological convolutional neural networks (CNN) using the principle of entropy from
Bairu Jia +3 more
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Spatiotemporal Image Fusion in Remote Sensing [PDF]
Remote Sensing, 2019 In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These methods fuse temporally sparse fine-resolution images with temporally dense coarse-resolution images.
Mariana Belgiu, Alfred Stein
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Multispectral and hyperspectral image fusion in remote sensing: A survey
Information Fusion, 2023 The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the spotlight. The combination of high spatial resolution MS images with HS data showing a lower spatial resolution but a more accurate spectral resolution is the aim of these techniques. This survey presents a deep review of the literature designed for students and
Gemine Vivone
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A Multi-Level Feature Fusion Network for Remote Sensing Image Segmentation
Sensors, 2021 High-resolution remote sensing image segmentation is a mature application in many industrial-level image applications and it also has military and civil applications.
Sijun Dong, Zhengchao Chen
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Research on Urban Function Recognition Based on Multi-modal and Multi-level Data Fusion Method [PDF]
Jisuanji kexue, 2021 The division and identification of urban functional areas is of great significance for analyzing the distribution status of urban functional areas and understanding the internal spatial structure of cities.This has stimulated the demand for multi-source ...
ZHOU Xin-min, HU Yi-gui, LIU Wen-jie, SUN Rong-jun
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Remote Sensing, 2021 The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great importance for SAR scene interpretation and application. However, the presence of intricate spatial structural patterns and complex statistical nature makes SAR ...
Wenkai Liang +4 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Extracting difference features is a key technique for polarimetric synthetic aperture radar (PolSAR) image change detection. Although the current PolSAR change detection algorithms based on convolutional neural networks (CNNs) can capture the local ...
Zhifei Yang +4 more
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PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net
Remote Sensing, 2021 The presence of speckles and the absence of discriminative features make it difficult for the pixel-level polarimetric synthetic aperture radar (PolSAR) image classification to achieve more accurate and coherent interpretation results, especially in the ...
Yice Cao +4 more
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Ship Instance Segmentation Based on Rotated Bounding Boxes for SAR Images
Remote Sensing, 2023 Ship instance segmentation in synthetic aperture radar (SAR) images is a hard and challenging task, which not only locates ships but also obtains their shapes with pixel-level masks.
Xinpeng Yang +5 more
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