Results 11 to 20 of about 72,892 (317)
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 ...
Jacqueline Le Moigne
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Dynamic Hierarchical Segmentation of Remote Sensing Images [PDF]
, 2013 Recursive tree-structured segmentation is a powerful tool to deal with the non-stationary nature of images. By fitting model parameters to each region/class under analysis one can adapt the segmentation algorithm to the local image statistics, thus improving accuracy.
SCARPA, GIUSEPPE +4 more
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DEVELOPMENT OF A DATABASE FOR BENCHMARK DATASETS IN PHOTOGRAMMETRY AND REMOTE SENSING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Data are a key component for many applications and methods in the domain of photogrammetry and remote sensing. Especially data-driven approaches such as deep learning rely heavily on available annotated data.
L. E. Budde +4 more
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ON THE DEVELOPMENT OF A DATASET PUBLICATION GUIDELINE: DATA REPOSITORIES AND KEYWORD ANALYSIS IN ISPRS DOMAIN [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The FAIR principle (find, access, interoperability, reuse) forms a sustainable resource for scientific exchange between researchers. Currently, the implementation of this principle is an important process for future research projects.
L. E. Budde, T. Kullmann, D. Iwaszczuk
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A Review of Remote Sensing Image Dehazing [PDF]
Sensors, 2021 Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible light band. To make up for such deficiency, numerous dehazing work and efforts have been made recently,
Juping Liu +4 more
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OCTREE-BASED APPROACH FOR REAL-TIME 3D INDOOR MAPPING USING RGB-D VIDEO DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 3D indoor mapping is becoming increasingly critical for a variety of applications such as path planning and navigation for robots. In recent years, there is a growing interest in how low-cost sensors, such as monocular or depth cameras, can be used for ...
J. Hou +3 more
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CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Open science is an important attribute for developing new approaches. Especially, the data component plays a significant role. The FAIR principle provides a good orientation towards open data. One part of FAIR is findability.
L. E. Budde +3 more
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GA-Net-Pyramid: An Efficient End-to-End Network for Dense Matching
Remote Sensing, 2022 Dense matching plays a crucial role in computer vision and remote sensing, to rapidly provide stereo products using inexpensive hardware. Along with the development of deep learning, the Guided Aggregation Network (GA-Net) achieves state-of-the-art ...
Yuanxin Xia +5 more
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Validation of aerosol estimation in atmospheric correction algorithm ATCOR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Atmospheric correction of satellite images is necessary for many applications of remote sensing, i.e. computation of vegetation indices and biomass estimation. The first step in atmospheric correction is estimation of the actual aerosol properties.
B. Pflug +3 more
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Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
Egyptian Journal of Remote Sensing and Space Sciences, 2023 To solve problems for false detection, inadequate regression performance of anchor frames, and the inability to detect small targets in traditional multiscale target detection methods based on YOLOv4, we propose a novel target detection framework named ...
Fuzhen Zhu +4 more
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