Detecting and mapping different types of iron mineralization in Sangan mining region, NE Iran, using satellite image and airborne geophysical data

Mazhari, Nazi; Shafaroudi, Azadeh Malekzadeh; Ghaderi, Majid

doi:10.1007/s12303-016-0018-9

Cited by 22 publications

(4 citation statements)

References 18 publications

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“…Geng pointed out that it is possible to apply CEM in the multispectral image by adding linearly irrelevant bands [49]. CEM is increasingly utilized for target detection in multispectral images, particularly for sparse mineral occurrence mapping [50][51]. However, for large targets like water bodies, CEM will result in severe overestimation and omission errors [52].…”

Section: ) Index-basedmentioning

confidence: 99%

Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection

Tian

Zhang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Surface water is a fundamental resource in urban environments. Monitoring the spatio-temporal distribution of urban surface water from remotely sensed images is crucial for urban planning and management. Unfortunately, due to the limitation of spatial resolution, the method based on low/medium resolution images is difficult to extract small water bodies accurately. Recently, very high resolution (VHR) images have shown considerable potential for urban compositions mapping. However, fewer spectral bands, shadows, and high spectral heterogeneity of VHR images hinder the application of traditional methods. In this study, we proposed an urban surface water mapping method called sparse superpixel-based water extraction (SSWE) from VHR images. The method includes three steps: (1) clustering water bodies into sparse targets at the object level by an improved scale-adaptive simple non-iterative clustering (SA-SNIC) superpixel segmentation; (2) generating new bands with additional spectral, spatial, and derived features, to increase the dimensions of original data and enhance the separability between water bodies and background covers; (3) constructing a positivenegative constrained energy minimization (PNCEM) multi-target sparse detector to highlight the water bodies while suppressing shadows. The proposed method was applied to GF-2 multispectral images of four cities in China. The results showed that SSWE achieved the highest accuracy compared with other methods, with an average OA of 98.91% and an average kappa coefficient of 0.942. Furthermore, the separability analysis also indicated that SSWE could effectively distinguish urban water bodies from shadows and other land covers. And stable results can be acquired by the suggested parameters and thresholds of SSWE.

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Section: ) Index-basedmentioning

confidence: 99%

Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection

Tian

Zhang

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…В нескольких работах рассматривается использование дистанционных данных (ASTER, ETM, Hiperion) для поисков месторождений железных руд в Бразилии и Иране Mazhari et al, 2017).…”

Section: геологическое картированиеunclassified

A review of the past 5 years of international advances in multi- and hyperspectral satellite data application and processing techniques in geological research

Smirnova¹,

Kirsanov²,

Kamyshnikova³

2020

Sovr. Probl. DZZ Kosm.

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В последние годы в зарубежных странах отмечается повышенный интерес к использованию мульти-и гиперспектральных дистанционных данных при геологических исследованиях. Это обусловлено совершенствованием аппаратуры, установленной на спутниках, подготовкой к запуску новых спутников, а также появлением новых методов обработки данных. Статья содержит обзор опубликованных за последние пять лет зарубежных работ в области использования мульти-и гиперспектральных спутниковых данных и современных методов их обработки при решении геологических задач. Рассмотрены методы обработки мульти-и гиперспектральных данных, осуществляемой как традиционными методами, так и по новым, усовершенствованным алгоритмам. Проанализированы основные достижения в области геологического картирования, изучения гидротермальных изменений пород, поисков месторождений полезных ископаемых (медно-порфировых, золоторудных, полиметаллических руд, месторождений углеводородов и др.), а также геоэкологического мониторинга с применением данных, полученных различными спутниковыми системами (ASTER, WorldView-3, Sentinel-2, Hyperion и др.). Показаны преимущества использования спектрометрического метода в открытых аридных районах и ограничения его применения на закрытых территориях. Дана характеристика современному состоянию и перспективам развития методов дистанционного зондирования в геологических исследованиях. ключевые слова: дистанционное зондирование, мульти-и гиперспектральные данные, методы обработки, геологическое картирование, гидротермальные изменения пород, поиски полезных ископаемых

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“…Several papers have appeared describing application of ASTER data in the search for iron ore deposits. Using ASTER data alone, or in combination with data from other satellites (Landsat and Hyperion) or airborne geophysics, methods were developed over targets in India, Iran, Brazil, and Australia by Rajendran et al [148], Huang et al [149], Duuring et al [150], Mansouri et al [151], and Mazhari et al [152]. One report by Moghtaderi et al [153] used ASTER and Landsat data to determine iron mineral contamination in an iron mine area in Iran.…”

Section: Aster Data Applied To Exploration For Other Mineralsmentioning

confidence: 99%

Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

Abrams

Yamaguchi

2019

Remote Sensing

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five instruments operating on the National Aeronautics and Space Administration (NASA) Terra platform. Launched in 1999, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been acquiring optical data for 20 years. ASTER is a joint project between Japan’s Ministry of Economy, Trade and Industry; and U.S. National Aeronautics and Space Administration. Numerous reports of geologic mapping and mineral exploration applications of ASTER data attest to the unique capabilities of the instrument. Until 2000, Landsat was the instrument of choice to provide surface composition information. Its scanners had two broadband short wave infrared (SWIR) bands and a single thermal infrared band. A single SWIR band amalgamated all diagnostic absorption features in the 2–2.5 micron wavelength region into a single band, providing no information on mineral composition. Clays, carbonates, and sulfates could only be detected as a single group. The single thermal infrared (TIR) band provided no information on silicate composition (felsic vs. mafic igneous rocks; quartz content of sedimentary rocks). Since 2000, all of these mineralogical distinctions, and more, could be accomplished due to ASTER’s unique, high spatial resolution multispectral bands: six in the SWIR and five in the TIR. The data have sufficient information to provide good results using the simplest techniques, like band ratios, or more sophisticated analyses, like machine learning. A robust archive of images facilitated use of the data for global exploration and mapping.

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Detecting and mapping different types of iron mineralization in Sangan mining region, NE Iran, using satellite image and airborne geophysical data

Cited by 22 publications

References 18 publications

Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection

Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection

A review of the past 5 years of international advances in multi- and hyperspectral satellite data application and processing techniques in geological research

Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration

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