Classification accuracy increase using multisensor data fusion [PDF]
, 2011 The practical use of very high resolution visible and near-infrared (VNIR) data is still growing (IKONOS, Quickbird, GeoEye-1, etc.) but for classification purposes the number of bands is limited in comparison to full spectral imaging. These limitations
Makarau, Aliaksei +2 more
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
New Method and Indexes for Classification of Trees and Other Vegetation in Urban Area Using Aerial Visible Image [PDF]
, 2015 M. Eslami, Ali Mohammadzadeh
openalex +1 more source
Assessing the adequacy of an aggregated vegetation classification: A test in semi‐arid Australia [PDF]
, 2023 Rachel McIntosh +4 more
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Classification of wetlands vegetation using small scale color infrared imagery [PDF]
A classification system for Chesapeake Bay wetlands was derived from the correlation of film density classes and actual vegetation classes. The data processing programs used were developed by the Laboratory for the Applications of Remote Sensing.
Williamson, F. S. L.
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Art Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data [PDF]
, 1995 A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification problem, using spectral and ...
Carpenter, Gail A. +3 more
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Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
A gradient model of vegetation and climate utilizing NOAA satellite imagery. Phase 1: Texas transect [PDF]
A climatological model/variable termed the sponge (a measure of moisture availability based on daily temperature maxima and minima, and precipitation) was tested for potential biogeograhic, ecological, and agro-climatological applications.
Greegor, D., Norwine, J.
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Exploring approaches to improve the performance for separating successional vegetation stages in the Brazilian Amazon with remote sensing data. [PDF]
, 2015 The rapid growth of successional vegetation has played an important role in reducing the carbon emission to atmosphere. However, lack of spatial data sets of successional vegetation with different stages has been regarded as an important source causing ...
BATISTELLA, M., LU, D., MORAN, E.
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Advanced Intelligent Systems, EarlyView.: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source