Search Results - "International journal of remote sensing"

Implementation of machine-learning classification in remote sensing: an applied review by Maxwell, Aaron E., Warner, Timothy A., Fang, Fang

“…Machine learning offers the potential for effective and efficient classification of remotely sensed imagery. The strengths of machine learning include the…”
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VIIRS night-time lights by Elvidge, Christopher D, Baugh, Kimberly, Zhizhin, Mikhail, Hsu, Feng Chi, Ghosh, Tilottama

“…The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over…”
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Forestry applications of UAVs in Europe: a review by Torresan, Chiara, Berton, Andrea, Carotenuto, Federico, Di Gennaro, Salvatore Filippo, Gioli, Beniamino, Matese, Alessandro, Miglietta, Franco, Vagnoli, Carolina, Zaldei, Alessandro, Wallace, Luke

“…Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that have been increasingly used over the last decade in Europe to…”
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Land cover 2.0 by Wulder, Michael A., Coops, Nicholas C., Roy, David P., White, Joanne C., Hermosilla, Txomin

“…Interest in knowing more about the Earth's land cover and how it has changed over time motivated the mission and sensor design of early terrestrial remote…”
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Urban mapping using DMSP/OLS stable night-time light: a review by Li, Xuecao, Zhou, Yuyu

“…The Defense Meteorological Satellite Program/Operational Linescane System (DMSP/OLS) stable night-time light (NTL) data showed great potential in urban extent…”
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Sentinel-1-based flood mapping: a fully automated processing chain by Twele, André, Cao, Wenxi, Plank, Simon, Martinis, Sandro

“…This article presents an automated Sentinel-1-based processing chain designed for flood detection and monitoring in near-real-time (NRT). Since no user…”
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Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data by Gong, Peng, Wang, Jie, Yu, Le, Zhao, Yongchao, Zhao, Yuanyuan, Liang, Lu, Niu, Zhenguo, Huang, Xiaomeng, Fu, Haohuan, Liu, Shuang, Li, Congcong, Li, Xueyan, Fu, Wei, Liu, Caixia, Xu, Yue, Wang, Xiaoyi, Cheng, Qu, Hu, Luanyun, Yao, Wenbo, Zhang, Han, Zhu, Peng, Zhao, Ziying, Zhang, Haiying, Zheng, Yaomin, Ji, Luyan, Zhang, Yawen, Chen, Han, Yan, An, Guo, Jianhong, Yu, Liang, Wang, Lei, Liu, Xiaojun, Shi, Tingting, Zhu, Menghua, Chen, Yanlei, Yang, Guangwen, Tang, Ping, Xu, Bing, Giri, Chandra, Clinton, Nicholas, Zhu, Zhiliang, Chen, Jin, Chen, Jun

“…We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have…”
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An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR by Zhou, Guoqing, Li, Weihao, Zhou, Xiang, Tan, Yizhi, Lin, Gangchao, Li, Xianxing, Deng, Ronghua

“…In bathymetric Airborne LiDAR (Light Detection And Ranging) for the measurement of various water depths, the echo of the laser signal is amplified by an…”
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Determining tree height and crown diameter from high-resolution UAV imagery by Panagiotidis, Dimitrios, Abdollahnejad, Azadeh, Surový, Peter, Chiteculo, Vasco

“…Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in…”
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Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification by Bera, Somenath, Shrivastava, Vimal K.

“…Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote sensing field due to unique characteristics of HSI data. It…”
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Landslide mapping with remote sensing: challenges and opportunities by Zhong, Cheng, Liu, Yue, Gao, Peng, Chen, Wenlong, Li, Hui, Hou, Yong, Nuremanguli, Tuohuti, Ma, Haijian

“…Landslide mapping is the primary step for landslide investigation and prevention. At present, both the accuracy and the degree of automation of landslide…”
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Crop type classification using a combination of optical and radar remote sensing data: a review by Orynbaikyzy, Aiym, Gessner, Ursula, Conrad, Christopher

“…Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years,…”
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What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? by Hunt, E. Raymond, Daughtry, Craig S. T.

“…Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially…”
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Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales by Hall-Beyer, Mryka

“…Texture measurements quantitatively describe relationships of DN values of neighbouring pixels. The output is a continuous measure of spatial information that…”
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Intercalibration between DMSP/OLS and VIIRS night-time light images to evaluate city light dynamics of Syria's major human settlement during Syrian Civil War by Li, Xi, Li, Deren, Xu, Huimin, Wu, Chuanqing

“…Monthly composites of night-time light acquired from the Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) had been used to evaluate…”
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UAS, sensors, and data processing in agroforestry: a review towards practical applications by Pádua, Luís, Vanko, Jakub, Hruška, Jonáš, Adão, Telmo, Sousa, Joaquim J., Peres, Emanuel, Morais, Raul

“…The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that…”
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Cattle detection and counting in UAV images based on convolutional neural networks by Shao, Wen, Kawakami, Rei, Yoshihashi, Ryota, You, Shaodi, Kawase, Hidemichi, Naemura, Takeshi

“…For assistance with grazing cattle management, we propose a cattle detection and counting system based on Convolutional Neural Networks (CNNs) using aerial…”
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Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification by Uddin, Md. Palash, Mamun, Md. Al, Afjal, Masud Ibn, Hossain, Md. Ali

“…Hyperspectral image (HSI) usually holds information of land cover classes as a set of many contiguous narrow spectral wavelength bands. For its efficient…”
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A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery by Ji, Shunping, Wei, Shiqing, Lu, Meng

“…Identifying buildings from remote sensing imagery has been a challenge due to uncertainties from remote sensing imagery and variations in building structure…”
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Feature extraction for hyperspectral image classification: a review by Kumar, Brajesh, Dikshit, Onkar, Gupta, Ashwani, Singh, Manoj Kumar

“…Hyperspectral image sensors capture surface reflectance over a range of wavelengths. The fine spectral information is recorded in terms of hundreds of bands…”
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