Results 81 to 90 of about 1,727,336 (191)

A novel semi-fragile forensic watermarking scheme for remote sensing images [PDF]

, 2011
Peer-reviewedA semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band ...
Serra Ruiz, Jordi, Jordi Serra-Ruiz, Megías Jiménez, David, David Megías   +3 more
core   +1 more source

Method for Obtaining Water-Leaving Reflectance from Unmanned Aerial Vehicle Hyperspectral Remote Sensing Based on Air–Ground Collaborative Calibration for Water Quality Monitoring

Remote Sensing
Unmanned aerial vehicle (UAV) hyperspectral remote sensing imaging systems have demonstrated significant potential for water quality monitoring. However, accurately obtaining water-leaving reflectance from UAV imagery remains challenging due to complex ...
Hong Liu, Xingsong Hou, Bingliang Hu, Tao Yu, Zhoufeng Zhang, Xiao Liu, Xueji Wang, Zhengxuan Tan   +7 more
doaj   +1 more source

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

A Generic Approach to Creating a National Soil Security Strategy

Sustainable Development, EarlyView.
ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney, Pasquale Borrelli, Sandra J. Evangelista, Julia Feeth, Damien Field, Nicolas Francos, Irene Heuser, Anilkumar Hunakunti, Daniel Irving, Thilini Jayasekara, Bruce Lascelles, Fatima Maria de Souza Moreira, Budiman Minasny, Cristine L. S. Morgan, Wartini Ng, Julio C. Pachón Maldonado, Mercedes Román Dobarco, Amin Sharififar, Quentin Styc, Mara Thiene, David Watt, Jae E. Yang   +21 more
wiley   +1 more source

PCCN-MSS: Parallel Convolutional Classification Network Combined Multi-Spatial Scale and Spectral Features for UAV-Borne Hyperspectral With High Spatial Resolution Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral remote sensing images with high spatial resolution (H2 imagery) have an abundant spatial-spectral information, holding tremendous potential for remote sensing fine-grained monitoring and classification.
Linhuan Jiang, Zhen Zhang, Bo-Hui Tang, Lehao Huang, Bingru Zhang   +4 more
doaj   +1 more source

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses.
J. Yu, J. Yu, Y. Li, D. Ge, D. Ge, Y. Chen, Y. Chen, Q. Wu, Q. Wu, Y. Ma, Y. Ma   +10 more
doaj   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

Safety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang, Zilong Wang, Yichao Zhang, Yanghan Su, Shaorun Lin, Xinyan Huang   +5 more
wiley   +1 more source

Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang, Ziyue Yang, Yu Wang, Xiujuan Lang, Tao Lu, Qingwei Zhuang   +5 more
wiley   +1 more source

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model

CoRR
Haze contamination in hyperspectral remote sensing images (HSI) can lead to spatial visibility degradation and spectral distortion. Haze in HSI exhibits spatial irregularity and inhomogeneous spectral distribution, with few dehazing networks available.
Hang Fu, Genyun Sun, Yinhe Li, Jinchang Ren, Aizhu Zhang, Cheng Jing, Pedram Ghamisi   +6 more
openaire   +3 more sources

Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng, Joanne Alice O'Keeffe, Andrew J. Abraham, Jesper Riis Christiansen, Frederik Nygaard Philipsen, Klaus Steenberg Larsen, Fabio Berzaghi, Carsten W. Mueller, Lars Vesterdal, Jeppe A. Kristensen, Elizabeth Le Roux   +10 more
wiley   +1 more source