Capital Normal University

Other

Chinamap Hi-tech (beijing)

Chinamap Hi-tech (beijing) Information Technology Co., Ltd.

Huili Gong

Xiaojuan Li

Jiao Guo

Cankun Yang

Ruofei Zhong

Guanjia Meng

Yun Pan

Yalin Ma

Embodiments of a method and system for inversion of high-resolution aquifer storage coefficient based on gravity satellite data are disclosed. The method comprises: acquiring gravity satellite data, soil moisture storage data, surface water storage data and other non-groundwater component data, based on a preset region. The method also comprises: obtaining monthly time series of terrestrial water storage anomalies, by inversing the gravity satellite data; obtaining monthly time series of soil moisture storage anomalies, surface water storage anomalies, and other non-groundwater component anomalies; obtaining monthly time series of groundwater storage anomalies; and obtaining monthly time series of groundwater level anomalies in different aquifers. The method yet comprises: obtaining random sample values of storage coefficient by a stochastic simulation; obtaining correlation coefficient and Nash-Sutcliffe efficiency coefficient between random value of groundwater storage trend after a forward modeling and groundwater storage trend in the gravity satellite time-variable signal; and obtaining an inversion result.

Method and system for inversion of high-resolution aquifer storage coefficient based on gravity satellite data

The present invention discloses a multimode CMOS image sensor and a control method thereof. The sensor comprises an independent control area group, a peripheral control circuit, a section mode setting module and a section mode configuration module. The method comprises dividing an independent control area group of the sensor into sections; setting a mode for each of the sections obtained; configuring a control mode of the peripheral control circuit for a corresponding section according to the mode set. By means of the present invention, when imaging in a push-broom mode, a regular sequence of images with fixed pixel difference can be produced at high frequency, and by performing pixel unmixing or integrating on the images obtained, the resolution and signal-to-noise ratio of the images can be effectively increased; because it is possible for some image unit area(s) of the sensor not to be selected as a scanning area, such design can bypass image units with quality issues when imaging by the hardware, which increases the reliability of the device; the characteristic of multiple times of imaging for the same target within very short time by multiple channels of the device can be utilized to realize moving target detection of optical camera imaging.

Multi-mode CMOS image sensor and control method thereof

Provided is a super-resolution image sensor and a producing method thereof such that, on the basis of not changing the arrangement of the image sensitive unit array of the image sensor, by means of the existing micro-lens manufacture techniques, the imaging resolution can be increased by offsetting micro-lens rows in a micro-lens array that covers upon the image sensitive unit array. In some examples, a super-resolution image sensor comprises an image sensitive unit array having image sensitive unit rows aligned with one another, and a micro-lens array covering upon the image sensitive unit array. Relative to a reference micro-lens row in the micro-lens array, the other micro-lens rows are regularly offset. Each micro-lens unit in the reference micro-lens row is center aligned with a corresponding image sensitive unit in a reference image sensitive unit row.

Super-resolution image sensor and producing method thereof

A detection method and system are used for a moving target based on multiple sensors on the same platform. N mutually independent image sensors arranged on a monolithic planar array sensor compose an image sensor group, which has a layout where n image sensors are arranged equidistantly on the same line in a travelling direction of a satellite. The method includes respectively collecting image data by the multiple sensors, performing on-board pre-processing to the image data collected by each image sensor, acquiring an image from the received pre-processed image data, and performing operation to the image from different image sensors, to recognize the moving target. The system includes sequentially connected sensor groups, an image data pre-processing device and a wireless transmitting device, a wireless receiving device wirelessly connected with the wireless transmitting device, and a moving target recognition device connected with the wireless receiving device.

Moving object detection method and system based on multiple sensors on same platform

The present invention discloses a method and device for storing image data, the method includes: receiving image data to-be-stored; extracting basic information of the image data and generating a header file; partitioning the image data by a preset block size according to the basic information of the image data, and generating a data file; and storing the header file and the data file and generating a storage file. In the present invention, image data are stored as double files, so as to add basic information of an image into the image, and in storing a massive-data image, the image is partitioned by a preset size prior to sequential storage, so that when the image is displayed, only one or several sub-blocks of the image are extracted and displayed, allowing quick display of the image with massive data, improving the efficiency of image display.

Growing community of inventors

Beijing, China

Huili Gong