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Aurélien Arnaubec, Maxime Ferrera, Javier Escartín, Marjolaine Matabos, Nuno Gracias and Jan Opderbecke
This paper addresses the lack of ?push-button? software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D mode...
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Armagan Elibol and Nak Young Chong
Image registration is one of the most fundamental and widely used tools in optical mapping applications. It is mostly achieved by extracting and matching salient points (features) described by vectors (feature descriptors) from images. While matching the...
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Daniel Hölbling, Clemens Eisank, Florian Albrecht, Filippo Vecchiotti, Barbara Friedl, Elisabeth Weinke and Arben Kociu
Object-based image analysis (OBIA) has been increasingly used to map geohazards such as landslides on optical satellite images. OBIA shows various advantages over traditional image analysis methods due to its potential for considering various properties ...
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Limei Wang, Guowang Jin, Xin Xiong, Hongmin Zhang and Ke Wu
Although winter wheat has been mapped by remote sensing in several studies, such mapping efforts did not sufficiently utilize contextual information to reduce the noise and still depended heavily on optical imagery and exhausting classification approache...
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Deodato Tapete
Building upon the positive outcomes and evidence of dissemination across the community of the first Special Issue ?Remote Sensing and Geosciences for Archaeology?, the second edition of this Special Series of Geosciences dedicated to ?Earth Observation, ...
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Iguniwari Thomas Ekeu-wei and George Alan Blackburn
Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic modelling and inundation mapping, which require specific datasets that are often unavailable in developing regions due to financial, logistical, technical and organizat...
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Ju Zeng, Mou Leong Tan, Yi Lin Tew, Fei Zhang, Tao Wang, Narimah Samat, Fredolin Tangang and Zulkifli Yusop
Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficu...
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Tewodros Tilahun and Wondwosen M. Seyoum
With the growing concerns of water quality related to tile drainage in agricultural lands, developing an efficient and cost-effective method of mapping tile drainage is essential. This research aimed to establish mapping of tile drainage systems in agric...
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Sante Francesco Rende, Alessandro Bosman, Rossella Di Mento, Fabio Bruno, Antonio Lagudi, Andrew D. Irving, Luigi Dattola, Luca Di Giambattista, Pasquale Lanera, Raffaele Proietti, Luca Parlagreco, Mascha Stroobant and Emilio Cellini
In this study, we present a framework for seagrass habitat mapping in shallow (5?50 m) and very shallow water (0?5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired fr...
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Jieyu Liang, Chao Ren, Yi Li, Weiting Yue, Zhenkui Wei, Xiaohui Song, Xudong Zhang, Anchao Yin and Xiaoqi Lin
Normalized difference vegetation index (NDVI) time series data, derived from optical images, play a crucial role for crop mapping and growth monitoring. Nevertheless, optical images frequently exhibit spatial and temporal discontinuities due to cloudy an...
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Alberto Vavassori, Daniela Carrion, Benito Zaragozi and Federica Migliaccio
Timely mapping of flooded areas is critical to several emergency management tasks including response and recovery activities. In fact, flood crisis maps embed key information for an effective response to the natural disaster by delineating its spatial ex...
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Qiang Zhou and Xin Li
This study focused on the homography estimation between the camera image and the wall map and presented a novel method (HomographyFpnNet). The high precision and low time consumption of this method will benefit many homography-related applications in rob...
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Yuhuan Qiu, Guohua Kang, Xunlong Cheng and Jiaqi Wu
To address the problem that the black coating for spacecraft optical stealth easily falls off, this study constructs a light-absorbing spacecraft surface based on a micro/nanostructure through imitating a natural light-trapping structure. In this paper, ...
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Jakub Langhammer, Theodora Lendzioch and Jakub ?olc
The detection and mapping of riverscapes with Unmanned Aerial Vehicles (UAVs, drones) provide detailed, reliable, and operable spatial information in hydrological sciences, enhancing conventional field survey techniques. In this study, we present the res...
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Khouloud Abida, Meriem Barbouchi, Khaoula Boudabbous, Wael Toukabri, Karem Saad, Habib Bousnina and Thouraya Sahli Chahed
Mapping and monitoring land use (LU) changes is one of the most effective ways to understand and manage land transformation. The main objectives of this study were to classify LU using supervised classification methods and to assess the effectiveness of ...
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Indra Riyanto, Mia Rizkinia, Rahmat Arief and Dodi Sudiana
Flooding in urban areas is counted as a significant disaster that must be correctly mitigated due to the huge amount of affected people, material losses, hampered economic activity, and flood-related diseases. One of the technologies available for disast...
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Wenjun Zhao, Miaolei Deng, Cong Cheng and Dexian Zhang
Object tracking is aimed at tracking a given target that is only specified in the first frame. Due to the rapid movement and the interference of cluttered backgrounds, object tracking is a significant challenging issue in computer vision. This research p...
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Hebing Zhang, Hongyi Yuan, Weibing Du and Xiaoxuan Lyu
Although vegetation index time series from optical images are widely used for crop mapping, it remains difficult to obtain sufficient time-series data because of satellite revisit time and weather in some areas. To address this situation, this paper cons...
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Yi Lin Tew, Mou Leong Tan, Liew Juneng, Kwok Pan Chun, Mohamad Hafiz bin Hassan, Sazali bin Osman, Narimah Samat, Chun Kiat Chang and Muhammad Humayun Kabir
The 2021?2022 flood is one of the most serious flood events in Malaysian history, with approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 billion. From this devastating event, we realized the lack of extreme precipitat...
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Bin Hu, Yongyang Xu, Xiao Huang, Qimin Cheng, Qing Ding, Linze Bai and Yan Li
Accurate land cover mapping is important for urban planning and management. Remote sensing data have been widely applied for urban land cover mapping. However, obtaining land cover classification via optical remote sensing data alone is difficult due to ...
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