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Remote Sensing Image Target Detection and Recognition Based on YOLOv5
, 2023 The main task of remote sensing image target detection is to locate and classify the targets of interest in remote sensing images, which plays an important role in intelligence investigation, disaster relief, industrial application, and other fields ...
Zixiang Gong +4 more
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Distribution Consistency Loss for Large-Scale Remote Sensing Image Retrieval
, 2020 Remote sensing images are featured by massiveness, diversity and complexity. These features put forward higher requirements for the speed and accuracy of remote sensing image retrieval.
Hongwei Zhao, Haoyu Zhao, Lili Fan
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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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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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A Multi-Level Attention Model for Remote Sensing Image Captions
, 2020 The task of image captioning involves the generation of a sentence that can describe an image appropriately, which is the intersection of computer vision and natural language.
Ronghua Shang +4 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 ...
openaire +1 more source
Do Game Data Generalize Well for Remote Sensing Image Segmentation?
, 2020 Despite the recent progress in deep learning and remote sensing image interpretation, the adaption of a deep learning model between different sources of remote sensing data still remains a challenge.
Zhengxia Zou +4 more
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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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, 2023 With the continuous development of modern remote sensing satellite technology, high-resolution (HR) remote sensing image data have gradually become widely used.
Linghong Meng +5 more
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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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