Spatio-Temporal Mixed Pixel Analysis of Savanna Ecosystems: A Review
Remote Sensing, 2021 Reliable estimates of savanna vegetation constituents (i.e., woody and herbaceous vegetation) are essential as they are both responders and drivers of global change.
Hilma S. Nghiyalwa +6 more
doaj +3 more sources
Evaluating UAV-based phenotyping strategies for Megathyrsus maximus [PDF]
Frontiers in Plant ScienceEffective high-throughput phenotyping is crucial for modern plant breeding, yet the optimal image acquisition parameters for UAV-based systems in forage crops remain poorly defined.
Guilherme Francio Niederauer +9 more
doaj +2 more sources
Relationship Between Display Pixel Structure and Gloss Perception [PDF]
Journal of ImagingThe demand for accurate representation of gloss perception, which significantly contributes to the impression and evaluation of objects, is increasing owing to recent advancements in display technology enabling high-definition visual reproduction.
Kosei Aketagawa +2 more
doaj +2 more sources
MULTIVIEW ANALYSIS OF MIXED PIXELS IN THE FRACTION AND REFLECTANCE DOMAINS FOR UNDERSTANDING SUB-PIXEL TOPOGRAPHIC STRUCTURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The spectral mixture analysis (SMA) plays a vital role in spectral data analysis and extraction of subpixel information. However, this technique provides only quantitative information regarding the materials’ abundance fractions within the pixel.
Y. Vidro, F. Kizel
doaj +1 more source
Analyzing the Effect of the Spectral Interference of Mixed Pixels Using Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The widespread presence of mixed pixels in remotely sensed images is a pressing challenge for accurate target detection and classification. Linear spectral mixture analysis (LSMA) is commonly used to address this problem by deriving remotely sensed ...
Shanshan Feng, Fenglei Fan
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Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary
Remote Sensing, 2021 In this research study, we deal with remote sensing data analysis over high dimensional space formed by hyperspectral images. This task is generally complex due to the large spectral, spatial richness, and mixed pixels.
Bouthayna Msellmi +4 more
doaj +1 more source
Remote Sensing, 2021 To achieve effective deep fusion features for improving the classification accuracy of hyperspectral remote sensing images (HRSIs), a pixel frequency spectrum feature is presented and introduced to convolutional neural networks (CNNs).
Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
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Extraction and Spatio-Temporal Analysis of Impervious Surfaces over Dongying Based on Landsat Data
Remote Sensing, 2021 It is necessary to understand the relationship between the impervious surface area (ISA) distribution, variation trends and potential driving forces over Dongying, Shandong Province.
Jiaqi Shen +4 more
doaj +1 more source
Research on Settlement Particle Recognition Based on Haar-PP Mixed Feature Extraction [PDF]
Jisuanji gongcheng, 2018 To solve the problem that gray blurring and variation cause low recognition rate and poor accuracy for trajectory tracking and trajectory tracking,the processing of gray-scale enhancement,pixel feature conversion and pixel point connectivity of laser ...
ZHOU Ran,SONG Huazhu,LIU Xiang
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A Multi-Scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations
Remote Sensing, 2022 Globally, many mines emit acid mine drainage (AMD) during and after their operational life cycle. AMD can affect large and often inaccessible areas. This leads to expensive monitoring via conventional ground-based sampling.
Richard Chalkley +5 more
doaj +1 more source