Characterization of myofibrils cold structural deformation degrees of frozen pork using hyperspectral imaging coupled with spectral angle mapping algorithm
The study investigated the possibility of using hyperspectral imaging (HSI) in the spectral
range of 1000–2200 nm to characterize myofibrils cold structural deformation degrees of …
range of 1000–2200 nm to characterize myofibrils cold structural deformation degrees of …
Assessing urban tree carbon storage and sequestration in Bolzano, Italy
Recent climate change, environmental design, and ecological conservation policies require
new and existing urban developments to mitigate and offset carbon dioxide emissions and …
new and existing urban developments to mitigate and offset carbon dioxide emissions and …
Recursive feature elimination and random forest classification of natura 2000 grasslands in lowland river valleys of poland based on airborne hyperspectral and …
L Demarchi, A Kania, W Ciężkowski, H Piórkowski… - Remote Sensing, 2020 - mdpi.com
The use of hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance
mapping and monitoring practices of endangered grasslands habitats, beyond conventional …
mapping and monitoring practices of endangered grasslands habitats, beyond conventional …
Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach
J Aval, J Demuynck, E Zenou, S Fabre… - ISPRS Journal of …, 2018 - Elsevier
With the current expansion of cities, urban trees have an important role for preserving the
health of its inhabitants. With their evapotranspiration, they reduce the urban heat island …
health of its inhabitants. With their evapotranspiration, they reduce the urban heat island …
Big data challenges in airborne hyperspectral image for urban landuse classification
In recent years, it was a difficult task to classify a huge set of data due to the increasing
population in urban places. As of now, satellite hyperspectral image provides information but …
population in urban places. As of now, satellite hyperspectral image provides information but …
The extraction of vegetation points from LiDAR using 3D fractal dimension analyses
H Yang, W Chen, T Qian, D Shen, J Wang - Remote Sensing, 2015 - mdpi.com
Light Detection and Ranging (LiDAR), a high-precision technique used for acquiring three-
dimensional (3D) surface information, is widely used to study surface vegetation information …
dimensional (3D) surface information, is widely used to study surface vegetation information …
Extraction of multilayer vegetation coverage using airborne LiDAR discrete points with intensity information in urban areas: A case study in Nanjing City, China
W Han, S Zhao, X Feng, L Chen - … Journal of Applied Earth Observation and …, 2014 - Elsevier
Urban vegetation is of a strategic importance for the life quality in the increasing urbanized
societies. However, it is still difficult to extract accurately urban vegetation vertical distribution …
societies. However, it is still difficult to extract accurately urban vegetation vertical distribution …
[图书][B] Pengantar Ilmu Geoinformatika
F Ramdani - 2017 - books.google.com
Buku ini menjabarkan dengan ringkas dan sederhana mengenai konsep pola pikir dan
keahlian geospasial serta domain sistem informasi dan teknologi komputer yang menjadi …
keahlian geospasial serta domain sistem informasi dan teknologi komputer yang menjadi …
Hyperspectral image denoising using constraint smooth rank approximation and weighted enhance 3DTV
J Ye, LH Zhang, B Jiang - Displays, 2022 - Elsevier
The removal of mixed noise in hyperspectral images (HSI) plays a vital role in subsequent
applications. Recently, the smooth rank approximation (SRA) method based on low-rank …
applications. Recently, the smooth rank approximation (SRA) method based on low-rank …
Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
Hyperspectral images (HSIs) are inevitably degraded by a mixture of various types of noise,
such as Gaussian noise, impulse noise, stripe noise, and dead pixels, which greatly limits …
such as Gaussian noise, impulse noise, stripe noise, and dead pixels, which greatly limits …