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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 4. Отображено 4.
05-01-2011 дата публикации

Method for inverting atmospheric water vapor content from MODIS (Moderate Resolution Imaging Spectroradiometer) data

Номер: CN0101936877A
Автор: KEBIAO MAO, LIANG SONG, JIANJUN QIU, DANDAN LI, JIA LIU, YONGLI GUO, MAOFANG GAO, SHENGLI WU, MAO KEBIAO, SONG LIANG, QIU JIANJUN, LI DANDAN, LIU JIA, GUO YONGLI, GAO MAOFANG, WU SHENGLI
Принадлежит:

The invention relates to a method for inverting atmospheric water vapor content from MODIS (Moderate Resolution Imaging Spectroradiometer) data, which can be applied to the remote sensing application departments, such as meteorology, environment monitoring, land management, crop condition monitoring, disaster monitoring and the like. The method comprises the following three steps of: (1) performing forward simulation to the second, fifth, seventeenth, eighteenth and nineteenth near-infrared bands of acquired remote sensing MODIS data in given areas and seasons and an atmospheric model by using atmospheric radiation transmission simulation software MODTRAN, and establishing a training and test database; (2) repeatedly training and testing the training and test data set by using a neural network; and (3) performing inversion calculation to the MODIS actual image data, and performing actual earth surface verification and application analysis. The atmospheric water vapor inversed product has ...

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Номер записи: 1
18-07-2023 дата публикации

Polar orbit satellite surface temperature time normalization method and device and electronic equipment

Номер: CN116450700A
Автор: DU WENHUI, LI ZHAOLIANG, QIN ZHIHAO, DUAN SIBO, LIU XIANGYANG, LI JIAHAO, LENG PEI, GAO MAOFANG
Принадлежит:

The invention belongs to the technical field of remote sensing application, and relates to a polar orbit satellite surface temperature time normalization method comprising the following steps: collecting long wave radiation data to calculate site surface temperature data; establishing a statistical model of earth surface temperature and time normalization of the polar orbit satellite; screening the surface temperature data of the clear sky station and extracting a time normalization coefficient; establishing an estimation model of a surface temperature time normalization coefficient; training the coefficient estimation model by using machine learning to obtain a surface temperature time normalization coefficient estimation model; obtaining a polar orbit satellite data observation area and time, and determining an actual earth surface temperature and time normalization coefficient of the polar orbit satellite; and determining the earth surface temperature of the polar orbit satellite after ...

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Номер записи: 2
09-05-2023 дата публикации

Crop classification and identification method based on high-resolution satellite remote sensing image

Номер: CN116091940A
Автор: GAO MAOFANG, XU CHANGHONG, YAN JINGWEN, WANG QIZHI, JIN YUNXIANG
Принадлежит:

The invention discloses a crop classification and identification method based on a high-resolution satellite remote sensing image, and the method comprises the steps: collecting a crop space distribution image through an unmanned plane, and making a category label corresponding to the high-resolution remote sensing image through combining with an on-site investigation result; performing sample expansion on the high-resolution image and the corresponding label in a data enhancement mode; constructing a crop classification deep learning model for training, extracting category features of crops by utilizing convolution, retaining upper-layer features of the crops by utilizing a superposition layer, and aggregating context semantic features of the crops by utilizing a pyramid pooling module; and storing the optimal model obtained in the training process, and applying the optimal model to crop classification and identification of the high-resolution satellite remote sensing image. According ...

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Номер записи: 3
27-01-2010 дата публикации

Method for estimating temperature of near-surface air from MODIS data

Номер: CN0101634711A
Автор: KEBIAO MAO, DAOLONG WANG, LIXIN ZHANG, TIANZHI REN, SANMEI LI, MAOFANG GAO, MAO KEBIAO, WANG DAOLONG, ZHANG LIXIN, REN TIANZHI, LI SANMEI, GAO MAOFANG
Принадлежит:

The invention relates to a method for estimating the temperature of near-surface air near from MODIS data, which can be used for remote sensing application departments, i.e. weather, environmental monitoring, land management, agricultural monitoring, disaster monitoring, and the like. The method comprises three steps: step1: utilizing the near-surface temperature and the emission rate of each pixel of a MODIS data product and the water vapour content value of atmosphere as priori knowledge and input parameters of atmosphere radiation transmission module simulation software MODTRAN4, carrying out forward direction simulation in different areas and seasons aiming at a 29th thermal infrared band, a 31st thermal infrared band and a 32nd thermal infrared band of each pixel of the obtained remote sensing data MODIS and establishing a training and testing database; step2: utilizing a neural network to repeatedly training and testing a training and testing dataset; step3: carrying out back calculation ...

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Номер записи: 4