Results 61 to 70 of about 89,529 (298)
Robust Semisupervised Land-Use Classification Using Remote Sensing Data With Weak Labels
IEEE Access, 2022 This work develops robust semisupervised classifiers to tackle the three most challenging problems in land-use classification using remote sensing data, namely, information imbalance, label noise, and image uncertainty.
Rui Wang, Man-On Pun
doaj +1 more source
, 2018 . Currently, applications of remote sensing evapotranspiration (ET) products are limited by the low resolution of satellite remote sensing data caused by land surface heterogeneities and the temporal scale extrapolation of the instantaneous latent heat ...
Xiaozhou Xin +3 more
core +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
A Multi-Attention Autoencoder for Hyperspectral Unmixing Based on the Extended Linear Mixing Model
Remote Sensing, 2023 Hyperspectral unmixing, which decomposes mixed pixels into the endmembers and corresponding abundances, is an important image process for the further application of hyperspectral images (HSIs).
Lijuan Su, Jun Liu, Yan Yuan, Qiyue Chen
doaj +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A Comparative Analysis of Depth-Discontinuity and Mixed-Pixel Detection Algorithms [PDF]
Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007), 2007 Laser scanner measurements are corrupted by noise and artifacts that can undermine the performance of registration, segmentation, surface reconstruction, recognition, and other algorithms operating on the data. While much research has addressed laser scanner noise models, comparatively little is known about other artifacts, such as the mixed pixel ...
Pingbo Tang, Daniel Huber, Burcu Akinci
openaire +1 more source
Classification of sets of mixed pixels in remote sensing.
, 2018 Recently, remotely sensed multispectral data have been proved to be very useful for many applications in the field of Earth surveys. For certain applications, however, limits in the spatial resolution of satellite sensors and variation in ground surface ...
Faraklioti, M.
core +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Mixed-Pixel Decomposition of SAR Images Based on Single-Pixel ICA with Selective Members
GIScience & Remote Sensing, 2011 In the decomposition of synthetic aperture radar (SAR) images with mixed pixels, two issues cannot be avoided; (1) there are more land cover types than the number of SAR image channels; and (2) the...
Yu Xian-chuan +3 more
openaire +1 more source
FCM Approach of Similarity and Dissimilarity Measures with α-Cut for Handling Mixed Pixels
Remote Sensing, 2018 In this paper, the fuzzy c-means (FCM) classifier has been studied with 12 similarity and dissimilarity measures: Manhattan distance, chessboard distance, Bray⁻Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute ...
Sayan Mukhopadhaya +2 more
doaj +1 more source