Results 61 to 70 of about 48,735,301 (199)

Determination of optimum segmentation parameter values for extracting building from remote sensing images

Alexandria Engineering Journal, 2018
Lately, with progresses in remote sensing information techniques and the growingly and unprecedented uses of its uses, remote sensing became a science that cannot be dispensed with in most fields and ground object extraction has turned out to be more ...
Aly M. El-naggar
doaj   +1 more source

A hierarchical unmanned aerial system–light detection and ranging–satellite learning framework for scaling heterogeneous vegetation cover mapping in rangelands

Grassland Research, Volume 5, Issue 3, Page 245-269, September 2026.
This study shows how drones, light detection and ranging (LiDAR), and satellites can be combined to map vegetation in rangelands more effectively. Drone imagery captures fine‐scale plant details, LiDAR adds information about vegetation structure and height, and satellite data allow the mapping approach to be expanded across larger areas.
Nishat Shermin, Narcisa G. Pricope, Padmanava Dash, Javier M. Osorio Leyton   +3 more
wiley   +1 more source

Probabilistic, Features-Based Object Recognition [PDF]

, 2008
Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
core   +1 more source

Significant Decline in Carbon Storage at the Edges of Mangrove Forest

Earth's Future, Volume 14, Issue 9, September 2026.
Abstract Quantitative analysis of blue carbon stored in mangrove ecosystems is essential for understanding their role in climate change mitigation. However, the impacts of edge effects in fragmented mangrove forests are often overlooked in large‐scale blue carbon assessments.
Ziqi Zhao, Mingming Jia, Luhe Wan, Rong Zhang, Chuanpeng Zhao, Chunying Ren, Yanbiao Xi, Tingyu Lu, Zongming Wang   +8 more
wiley   +1 more source

Geographic Object-Based Image Analysis: A Primer and Future Directions

Remote Sensing, 2020
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects.
Maja Kucharczyk, Geoffrey J. Hay, Salar Ghaffarian, Chris H. Hugenholtz   +3 more
doaj   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, Volume 12, Issue 4, Page 513-530, August 2026.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, Volume 33, Issue 3, Page 621-646, July/September 2026.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Forward Image Registration for Higher Level Interpretation of Zircon Provenance Based on Combined CL, U/Pb Age, and Geochemical Data

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract Most detrital zircon studies generate grayscale cathodoluminescence (CL) images, U/Pb dates, and variably extensive trace element concentration data. Yet the combined information contained in these data is rarely used for a higher‐level interpretation of zircon provenance, which still heavily relies on comparison of sample‐wide U/Pb age ...
Marco A. Acevedo Zamora, Balz S. Kamber, John T. Caulfield, Charlotte M. Allen, Justin S. Freeman   +4 more
wiley   +1 more source

Coastal Wetland Vegetation Classification Using Pixel-Based, Object-Based and Deep Learning Methods Based on RGB-UAV

Land, 2022
The advancement of deep learning (DL) technology and Unmanned Aerial Vehicles (UAV) remote sensing has made it feasible to monitor coastal wetlands efficiently and precisely.
Jun-Yi Zheng, Ying-Ying Hao, Yuan-Chen Wang, Si-Qi Zhou, Wan-Ben Wu, Qi Yuan, Yu Gao, Hai-Qiang Guo, Xing-Xing Cai, Bin Zhao   +9 more
doaj   +1 more source

Reducing Nitrous Oxide Emissions Associated With Fertiliser Using Nitrogen Enriched Biochar

European Journal of Soil Science, Volume 77, Issue 4, July/August 2026.
ABSTRACT There is a need for agricultural practices that decrease nitrous oxide emissions while sustaining yields for food production. In the current paper, we investigate the possibility of reducing emissions by co‐applying or enriching biochar with mineral nitrogen and using it as a fertiliser.
Jonathan H. Lindhardt, Karoline Schnorr, Sander Bruun, Lars S. Jensen   +3 more
wiley   +1 more source