Results 51 to 60 of about 223,998 (212)

Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar

Remote Sensing, 2019
In recent years, the outbreak of the pine shoot beetle (PSB), Tomicus spp., has caused serious shoots damage and the death of millions of trees in Yunnan pine forests in southwestern China.
Qinan Lin, Huaguo Huang, Jingxu Wang, Kan Huang, Yangyang Liu   +4 more
doaj   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

Deciphering the Palimpsest: Chronological Uncertainty and the Interpretation of Mining Landscapes at Písečný vrch (Czech Republic)

Archaeological Prospection, EarlyView.
ABSTRACT We investigated the Písečný vrch (Czech Republic), a site exploited for quartz mining in both prehistoric times and the 20th century. Due to their morphological similarity across all mining periods, the differentiation between pits with archaeological potential and recent ones is challenging.
Jan Fišer, Petr Krištuf, Jan Kropáček, Vojtěch Barták, Lenka Starková, Vítězslav Moudrý   +5 more
wiley   +1 more source

Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data [PDF]

, 2009
Hyperspectral data allows the construction of more elaborate models to sample the properties of the nonferrous materials than the standard RGB color representation.
Iriondo, Pedro M., Ghita, Ovidiu, Whelan, PF, Picon, Artzai, Whelan, Paul F.   +4 more
core   +2 more sources

Evaluation of Goddard’s LiDAR, hyperspectral, and thermal data products for mapping urban land-cover types

GIScience & Remote Sensing, 2018
Goddard’s LiDAR (Light Detection And Ranging), hyperspectral and thermal (G-LiHT) airborne imager is a new system to advance concepts of data fusion for worldwide applications. A recent G-LiHT mission conducted in June 2016 over an urban area opens a new
Caiyun Zhang, Molly Smith, Chaoyang Fang
doaj   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Fully‐connected semantic segmentation of hyperspectral and LiDAR data

IET Computer Vision, 2019
Semantic segmentation is an emerging field in the computer vision community where one can segment and label an object all at once, by considering the effects of the neighbouring pixels. In this study, the authors propose a new semantic segmentation model that fuses hyperspectral images with light detection and ranging (LiDAR) data in the three ...
Aytaylan, Hakan, Yuksel, Seniha Esen
openaire   +4 more sources

Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread for improving classification results.
B. Abbasi, H. Arefi, B. Bigdeli, M. Motagh, S. Roessner   +4 more
doaj   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Multimodal Prompt Tuning for Hyperspectral and LiDAR Classification

Remote Sensing
The joint classification of hyperspectral imaging (HSI) and Light Detection and Ranging (LiDAR) data holds significant importance for various practical uses, including urban mapping, mineral prospecting, and ecological observation. Achieving robust and transferable feature representations is essential to fully leverage the complementary properties of ...
Zhengyu Liu, Xia Yuan, Shuting Yang, Guanyiman Fu, Chunxia Zhao, Fengchao Xiong   +5 more
openaire   +3 more sources