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Chiman Kwan
The Curiosity rover has landed on Mars since 2012. One of the instruments onboard the rover is a pair of multispectral cameras known as Mastcams, which act as eyes of the rover. In this paper, we summarize our recent studies on some interesting image pro...
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Chiman Kwan
Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used in remote sensing applications such as target detection, change detection, and anomaly detection. In this paper, we aim at reviewing recent change detection papers an...
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Hui Deng, Wenjiang Zhang, Xiaoqian Zheng and Houxi Zhang
The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing...
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Vaclav Skala
Image processing techniques are based nearly exclusively on RGB (red?green?blue) representation, which is significantly influenced by technological issues. The RGB triplet represents a mixture of the wavelength, saturation, and lightness values of light....
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Venkatesh Thirugnana Sambandham, Priyamvada Shankar and Sayan Mukhopadhaya
Early warning systems help combat crop diseases and enable sustainable plant protection by optimizing the use of resources. The application of remote sensing to detect plant diseases like wheat stripe rust, commonly known as yellow rust, is based on the ...
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Juan Manuel Bermudez-Garcia
The COVID-19 pandemic boosted the presence of thermal cameras in our society. These devices are becoming cheaper and smaller and can even be plugged in our smartphones. Therefore, soon enough everybody will have access to these instruments. Thermal camer...
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Nicola Ghirardi, Mariano Bresciani, Gary Free, Monica Pinardi, Rossano Bolpagni and Claudia Giardino
The improvement of effective remote sensing-based approaches to map macrophyte features can provide a baseline of adequate spatiotemporal resolution for 21st century monitoring applications equipped to play a prominent role in the context of medium?large...
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Carlos Boente, Lorena Salgado, Emilio Romero-Macías, Arturo Colina, Carlos A. López-Sánchez and José Luis R. Gallego
In the context of soil pollution, plants suffer stress when exposed to extreme concentrations of potentially toxic elements (PTEs). The alterations to the plants caused by such stressors can be monitored by multispectral imagery in the form of vegetation...
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Hongyin Han, Chengshan Han, Xucheng Xue, Changhong Hu, Liang Huang, Xiangzhi Li, Taiji Lan and Ming Wen
Shadows in very high-resolution multispectral remote sensing images hinder many applications, such as change detection, target recognition, and image classification. Though a wide variety of significant research has explored shadow detection, shadow pixe...
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Xin Yang, Shichen Gao, Qian Sun, Xiaohe Gu, Tianen Chen, Jingping Zhou and Yuchun Pan
Lodging depresses the grain yield and quality of maize crop. Previous machine learning methods are used to classify crop lodging extents through visual interpretation and sensitive features extraction manually, which are cost-intensive, subjective and in...
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Hongyin Han, Chengshan Han, Taiji Lan, Liang Huang, Changhong Hu and Xucheng Xue
Shadow often results in difficulties for subsequent image applications of multispectral satellite remote sensing images, like object recognition and change detection. With continuous improvement in both spatial and spectral resolutions of satellite remot...
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Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi and Qiang Fu
To address the issue of poor tracking accuracy and the low recognition rate for multiple small targets in infrared images caused by uneven image intensity, this paper proposes an accurate tracking algorithm based on optical flow estimation. The algorithm...
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Bartosz Szelag, Szymon Sobura and Renata Stoinska
The main task of a wastewater treatment plant (WWTP) is to reduce pollutants that adversely affect the receiving environment in which the effluent is discharged. The operation of a WWTP is a complex task due to the number of different processes that take...
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Carlos Alberto Matias de Abreu Júnior, George Deroco Martins, Laura Cristina Moura Xavier, João Vitor Meza Bravo, Douglas José Marques and Guilherme de Oliveira
Image-based spectral models assist in estimating the yield of maize. During the vegetative and reproductive phenological phases, the corn crop undergoes changes caused by biotic and abiotic stresses. These variations can be quantified using spectral mode...
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Ziting Wang and Meng Zhang
As a key parameter of land surface energy balance models, near surface air temperature (NSAT) is an important indicator of the surface atmospheric environment and the urban thermal environment. At present, NSAT data are mainly captured by meteorological ...
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Amarasingam Narmilan, Felipe Gonzalez, Arachchige Surantha Ashan Salgadoe and Kevin Powell
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Josephina Paul, B. Uma Shankar and Balaram Bhattacharyya
Change detection (CD) using Remote sensing images have been a challenging problem over the years. Particularly in the unsupervised domain it is even more difficult. A novel automatic change detection technique in the unsupervised framework is proposed to...
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Dae Kyo Seo, Yong Hyun Kim, Yang Dam Eo, Mi Hee Lee and Wan Yong Park
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Rossana Gini, Giovanna Sona, Giulia Ronchetti, Daniele Passoni and Livio Pinto
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Sara Zollini, Donatella Dominici, Maria Alicandro, María Cuevas-González, Eduard Angelats, Francesca Ribas and Gonzalo Simarro
Coastal environments are dynamic ecosystems, constantly subject to erosion/accretion processes. Erosional trends have unfortunately been intensifying for decades due to anthropic factors and an accelerated sea level rise might exacerbate the problem. It ...
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