Results 201 to 210 of about 1,804,601 (225)

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Accounting for animal movement during aerial imaging surveys

Remote Sensing in Ecology and Conservation, EarlyView.
Animals are not stationary during aerial surveys; if their movements are related to the movement of the aerial platform, then bias can be introduced into subsequent population count estimates. We sought to establish a framework for assessing the impacts of animal movement on count error and platform bias by comparing aggregated counts and relative ...
Rowan L. Converse, Christopher D. Lippitt, Steven E. Sesnie, David R. Stewart, Matthew J. Butler, Grant M. Harris   +5 more
wiley   +1 more source

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

Remote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger, Albert B. Kao, Curry J. Cunningham, Thomas P. Quinn, Caroline Kittle, Andrew M. Berdahl   +5 more
wiley   +1 more source

Perspectives on Climate Change in Education for Sustainability: Linking Concepts and Skills for a Practical Ecological Transition

Sustainable Development, EarlyView.
ABSTRACT ‘Hard’ natural sciences have extensively been used to provide evidence that climate change is happening and climate action is needed. If the contribution of our economic activities to disturbing our climate systems is now largely accepted, the way in which we design and operationalise ‘climate action’—how we transition to more sustainable ...
Sandrine Simon
wiley   +1 more source

Living Through a Changing Climate: Stress, Trauma, and Gendered Resilience Among Women in Coastal and Northern Ghana

Sustainable Development, EarlyView.
ABSTRACT Climate change is reshaping everyday life in Ghana through coastal erosion, flooding, erratic rainfall, water scarcity, extreme heat, and agricultural insecurity. This study examines how these changes produce stress, trauma, and gendered resilience among women in Salakope and Choggu Yapalsi, two climate‐vulnerable communities in coastal and ...
Jacob Kwakye
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Normalized ghost imaging [PDF]

Optics Express, 2012
We present an experimental comparison between different iterative ghost imaging algorithms. Our experimental setup utilizes a spatial light modulator for generating known random light fields to illuminate a partially-transmissive object.
Baoqing Sun, Miles J. Padgett, Stephen S Welsh   +2 more
exaly   +2 more sources

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Underwater ghost imaging based on generative adversarial networks with high imaging quality

Optics Express, 2021
Jiemin Hu
exaly  

Neutron ghost imaging

Physical Review A, 2020
Daniele Pelliccia, Andrew Kingston, Ulf Garbe   +2 more
exaly  

Ghost imaging: from quantum to classical to computational

Advances in Optics and Photonics, 2010
Jeffrey H Shapiro, Baris I Erkmen
exaly