卫星影像大数据情报分析与应用

doi:10.11959/j.issn.2096-0271.2016053

Abstract

Abstract:

Imaging capability has been greatly improved along with the development of remote sensing technology,the image information extraction based on deep learning raises to a new level,and cloud computing makes it possible of processing satellite imagery of big data.These three technologies activated the research on the expected potential commercial and military value,many research institutions joined the strength competition,and attracted a large number of venture capital.The potential value analysis and application based on satellite imagery of big data were summarized,and the next possible technological breakthroughs and the future direction of development were presented.

Key words: satellite imagery, big data, intelligence analysis

Jinfang ZHANG, Xiaohui HU, Hui ZHANG, Rui WANG, Haichang LI. Intelligence analysis and application for satellite imagery of big data[J]. Big Data Research, 2016, 2(5): 43-53.

Figures/Tables 8

序号	特征	$\bar{‖ δ_{m e a n} ‖}$	$\bar{δ_{σ}}$	D_s
1	I CCM mean	0.403 1	0.137 1	2.940 3
2	H CCM sosvh	0.235 9	0.092 8	2.541 3
3	H CMM autoc	0.233 4	0.109 0	2.141 7
4	S CCM mean	0.095 2	0.067 5	1.409 9
5	H CCM mean	0.062 9	0.056 0	1.123 7
6	SR	0.040 3	0.042 8	0.942 4
7	S CCM 2nd moment	0.026 0	0.031 2	0.835 4
8	I CCM 2nd moment	0.026 0	0.031 2	0.835 4
9	I 2nd moment	0.026 0	0.031 2	0.834 5
10	I variance	0.026 0	0.031 2	0.834 5
11	NIR std	0.025 1	0.031 5	0.798 0
12	I std	0.025 1	0.031 4	0.796 8
13	H std	0.025 2	0.031 7	0.795 6
14	H mean	0.024 0	0.031 4	0.763 2
15	I mean	0.025 4	0.033 6	0.754 1
16	S mean	0.023 2	0.031 9	0.726 8
17	I CCM covariance	0.037 8	0.052 2	0.722 8
18	NIR mean	0.024 6	0.035 1	0.699 7
19	ARVI	0.022 9	0.034 5	0.662 2
20	NDVI	0.021 5	0.032 6	0.659 4
21	DCT	0.034 4	0.059 4	0.579 2
22	EVI	0.014 4	0.045 0	0.320 7

References 20

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数据集	内在维度
MNIST	16
CIFAR-10	17
SAT-6	115
SAT-6 Haralick特征	4.2

Intelligence analysis and application for satellite imagery of big data

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