中国科学院机构知识库网格系统: 检索

Spatial-temporal pattern of desertification in the Selenge River Basin of Mongolia from 1990 to 2020 期刊论文 OAI收割
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 卷号: 11, 页码: 1125583
作者: Xu, Shuxing; Wang, Juanle; Altansukh, Ochir; Chuluun, Togtokh

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收藏 | 浏览/下载：19/0 | 提交时间：2023/05/06

desertification land degradation feature space model Selenge River Basin Mongolia plateau

An operational parameterization scheme of surface temperature-vegetation index contextual model for large-scale temporally continuous evapotranspiration estimation: The case study of contiguous United States 期刊论文 OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 602, 页码: 16
作者: Wei, Jiaxing; Zhu, Wenbin

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收藏 | 浏览/下载：15/0 | 提交时间：2022/09/21

Evapotranspiration Remote sensing Large-scale Temporally continuous Feature space model

An operational parameterization scheme of surface temperature-vegetation index contextual model for large-scale temporally continuous evapotranspiration estimation: The case study of contiguous United States 期刊论文 OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 602, 页码: 16
作者: Wei, Jiaxing; Zhu, Wenbin

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收藏 | 浏览/下载：14/0 | 提交时间：2022/09/21

Evapotranspiration Remote sensing Large-scale Temporally continuous Feature space model

Comparison of two satellite-based soil moisture reconstruction algorithms: A case study in the state of Oklahoma, USA 期刊论文 OAI收割
JOURNAL OF HYDROLOGY, 2020, 卷号: 590, 页码: 16
作者: Liu, Yangxiaoyue; Yao, Ling; Jing, Wenlong; Di, Liping; Yang, Ji

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收藏 | 浏览/下载：20/0 | 提交时间：2021/03/15

Satellite-based soil moisture Reconstruction Triangular feature space-based model Random forest

Dynamic monitoring of desertification in Naiman Banner based on feature space models with typical surface parameters derived from LANDSAT images 期刊论文 OAI收割
LAND DEGRADATION & DEVELOPMENT, 2020, 页码: 20
作者: Guo, Bing; Zang, Wenqian; Han, Baomin; Yang, Fei; Luo, Wei

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收藏 | 浏览/下载：34/0 | 提交时间：2020/05/19

albedo-NDVI point-to-point model desertification feature space Naiman Banner spatial pattern

Salinization information extraction model based on VI-SI feature space combinations in the Yellow River Delta based on Landsat 8 OLI image 期刊论文 OAI收割
GEOMATICS NATURAL HAZARDS & RISK, 2019, 卷号: 10, 期号: 1, 页码: 1863-1878
作者: Guo, Bing; Han, Baomin; Yang, Fei; Fan, Yewen; Jiang, Lin

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收藏 | 浏览/下载：41/0 | 提交时间：2020/03/23

Soil salinization feature space Landsat8 OLI monitoring model Yellow River Delta

Salinization information extraction model based on VI-SI feature space combinations in the Yellow River Delta based on Landsat 8 OLI image 期刊论文 OAI收割
GEOMATICS NATURAL HAZARDS & RISK, 2019, 卷号: 10, 期号: 1, 页码: 1863-1878
作者: Guo, Bing; Han, Baomin; Yang, Fei; Fan, Yewen; Jiang, Lin

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收藏 | 浏览/下载：11/0 | 提交时间：2020/03/23

Soil salinization feature space Landsat8 OLI monitoring model Yellow River Delta

ESTIMATION OF EVAPOTRANSPIRATION IN HEIHE RIVER BASIN USING HJ-1AB DATA 会议论文 OAI收割
2012 Ieee International Geoscience and Remote Sensing Symposium (Igarss)
Xu Hongwei; Sun Rui; Du Junping

收藏 | 浏览/下载：19/0 | 提交时间：2014/12/07

SEBS model Priestley-Taylor Equation combined with Ts-NDVI feature space HJ-1A/B Heihe River BALANCE SYSTEM SEBS HEAT-FLUX ENERGY

Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China
Li D.-W.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).