DESC:FIELD OF INVENTION
[001] The present invention relates to a system and method for analyzing satellite data. Particularly, the present invention relates to a system and method for collecting and processing raw data received from aerial or satellite sensors i.e., for pre-processing and beaming to ground stations.

BACKGROUND OF THE INVENTION
[002] Satellite based sensors are an outstanding means for collecting large-scale earth-observation data for various applications such as- environmental observation, climate change, defense and security, retail and commerce, urban planning etc. Over the last few years, the number of satellites all over the world has increased manifold and the volume of earth observation data collected and transmitted by satellites has become gigantic. All this data cannot be analyzed manually by humans. There is the need for building advanced and efficient systems that automatically analyzes the large volume of satellite data and to present valuable insights in a short span of time.

[003] Therefore, in view of the problem associated with the state of the art there is a need for a system for automatically processing satellite data and deriving spatio-temporal insights. .

OBJECTIVES OF THE INVENTION
[004] The primary objective of the present invention is to provide a self-sustaining wall mounted air purification system.

[005] Another objective of the present invention is to provide a system and methodology for automatically processing satellite data and deriving spatio-temporal insights.

[006] Yet another objective of the present invention is to provide application of computer vision and artificial intelligence algorithms to generate different types of spatio-temporal analysis on the raw data.

[007] Another objective of the present invention is to provide a feedback of person skilled in the art both at the level of processing hardware and algorithms to enhance the quality of analysis

[008] Other objects and advantages of the present invention will become apparent from the following description taken in connection with the accompanying drawings, wherein, by way of illustration and example, the aspects of the present invention are disclosed.
SUMMARY OF THE INVENTION
[009] The present invention relates to a system and method for analyzing satellite data. The system and method of the present invention provides collection and processing of raw data received from aerial or satellite sensors i.e., for pre-processing and beaming to ground stations. The system of the present invention provides automatically processed satellite data to derive insights from it. The present invention provides an innovative methodology for raw data pre-processing and ingestion technique coupled with efficient hardware mapping and acceleration. The proposed methodology yields multiple type of advanced analytical outputs for spatio-temporal trend analysis from various forms of satellite data.
BRIEF DESCRIPTION OF DRAWINGS
[0010] An understanding of the present invention may be obtained by reference to the accompanying drawings, when taken in conjunction with the description herein and in which:

[0011] Figure 1 illustrates schematic arrangement of the system for analyzing data of the present invention.

DETAILED DESCRIPTION OF THE INVENTION
[0012] The following description describes various features and functions of the disclosed system with reference to the accompanying figures. In the figures, similar symbols identify similar components, unless context dictates otherwise. The illustrative aspects described herein are not meant to be limiting. It may be readily understood that certain aspects of the disclosed system can be arranged and combined in a wide variety of different configurations, all of which have not been contemplated herein.

[0013] Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0014] Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments.

[0015] The terms and words used in the following description are not limited to the bibliographical meanings, but, are merely used to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of exemplary embodiments of the present invention are provided for illustrative purpose only and not for the purpose of limiting the invention.

[0016] It is to be understood that the singular forms “a”, “an” and “the” include plural referents unless the context clearly dictates otherwise.

[0017] It should be emphasized that the term “comprises/comprising” when used in this specification is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps, components or groups thereof. The equations used in the specification are only for computation purpose.

[0018] The present invention relates to a system and method for aerially collecting raw data from a plurality of aerial or satellite sensors (102) mounted as payloads on the platforms of an unmanned aerial and space system (104), such as drones or satellites. The sensors (102) captures the raw data aerially for pre-processing and beaming the collected raw data to ground stations. The ground stations installed with a computing device receives raw data from the satellite sensors (102) through electromagnetic waves at a pre-defined frequencies. The raw data captured by the satellite sensors (102) comprises of, but not limited to, a plurality of digital and analogue signals, images, videos and position based information. The raw data received from the plurality of sensors (102) is simultaneously merged and processed via the pre-processing techniques of the pre-processing module (106). The pre-processing techniques are used to improve visual quality of data through various corrections, such as gamma correction, radiometric correction, image balancing, removal of no-data regions, proper geo-registration, and addition of proper ground coordinates to pixels. In an exemplary embodiment, the pre-processing module (106) exists as a computational element either directly on the payload of the unmanned aerial and space system (104), or on computing device at the ground stations.

[0019] Further, hardware accelerated mapping of pre-processed data is realized by as user by exploiting efficient software module (110) based computational and memory architecture. Hardware accelerated mapping is different for different computational blocks that are being used, such as by writing optimized code specific to CPUs, differently for specific GPUs and differently for other hardware data processing accelerators/chips

[0020] The software module (110) is installed in any one of: the computing device; and/ or the payload of unmanned aerial and space system (104). The software module (110) is configured with a pre-trained computer vision and artificial intelligence algorithms to generate outputs of different types of spatio-temporal analysis on the raw data. The analyzed output is transferred for post-processing, visualizing, handling and saving. The analyzed output data is transferred to a skilled users for further analyzing the outputs, while part of the output is also transferred to backend of AI-algorithm refinement module installed in the software module (110) for improving the quality of AI algorithms. Further, the analyzed output data is transferred to a database manager for organization of data and better visualization. In an exemplary embodiment, part or full of this output is also transferred to a database manager for organization of data and better visualization.

[0021] The software module (110) is operated by a skilled user, where the data is run in a loop comprising a feedback of person skilled in the art both at the level of processing hardware and algorithms to enhance the quality of analysis. Based on the input received from the person skilled in the art the analytical technique is refined in real-time. The analytical technique is refined by extraction of parameters from skilled user inputs and updating of parameters in algorithms of software module (110) accordingly. The refined/upgraded analytical technique is re-mapped to the system of the present invention for running refined analysis on the data. In an exemplary embodiment, analytical technique is mapped using standard programming techniques, parameter updating, automation scripts - components here again refer to computing components - servers etc. The said process is repeated for the cycles of raw data.

[0022] In a preferred embodiment, Figure 1 illustrates a system for analyzing satellite data comprises: a plurality of satellite sensors (102) mounted as payloads on an unmanned aerial and space system (104) to capture raw data aerially; a pre-processing module (106) for simultaneous merging and processing of raw data received from the sensors (102); a computing device (108) located at ground stations receives raw data from the sensors through electromagnetic waves at pre-defines frequencies; a software module (110) installed in in any one of: the computing device (108); and/ or the payload of unmanned aerial and space system (104), said software module (110) pre-trained with a computer vision and an artificial intelligence generates a plurality of spatio-temporal analysis on raw data; a feedback loop mechanism (112) operated by a skilled user receives analyzed data from the software module (110) to provide real time inputs on analyzed data to refine and remap analytical techniques on the computing device (108) for additional analysis of raw data.

[0023] A method for analyzing satellite data, comprising:
a) capturing raw data aerially from a plurality of satellite sensors (102) mounted as payloads on an unmanned aerial and space system (104) to capture raw data aerially;
b) merging and processing raw data simultaneously through pre-fed pre-processing techniques of a pre-processing module (106) installed in any one of: the computing device; and/ or the payload of unmanned aerial and space system (104) to correct quality of raw data;
c) receiving raw data through a computing device at ground station through electromagnetic waves at pre-defined frequencies;
d) utilizing software module (110) installed in the computing device or the payload of unmanned aerial and space system (104), equipped with pre-trained computer vision and artificial intelligence for generating a plurality of spatio-temporal analysis on raw data;
e) analyzing output data through AI based software module (110) for post-processing, visualizing, handling and saving;
f) establishing a feedback loop through a feedback loop mechanism (112) having a skilled user, to receive real time inputs for refining analytical techniques;
g) remapping upgraded analytical techniques to the computing device by applying refined analytical technique to raw data cycles in real time for further analysis of raw data.

[0024] While this invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
,CLAIMS:WE CLAIM:
1. A system (100) for analyzing satellite data, comprising:
• a plurality of satellite sensors (102) mounted as payloads on an unmanned aerial and space system (104) to capture raw data aerially;
• a pre-processing module (106) for simultaneous merging and processing of raw data received from the sensors (102);
• a computing device (108) located at ground stations receives raw data from the sensors through electromagnetic waves at pre-defines frequencies;
• a software module (110) installed in in any one of: the computing device (108); and/ or the payload of unmanned aerial and space system (104), said software module (110) pre-trained with a computer vision and an artificial intelligence generates a plurality of spatio-temporal analysis on raw data;
• a feedback loop mechanism (112) operated by a skilled user receives analyzed data from the software module (110) to provide real time inputs on analyzed data to refine and remap analytical techniques on the computing device (108) for additional analysis of raw data.

2. The system as claimed in claim 1, wherein the pre-processing module (106) is installed in any one of: the computing device; and/ or the payload of unmanned aerial and space system (104).

3. A method for analyzing satellite data, comprising:
h) capturing raw data aerially from a plurality of satellite sensors (102) mounted as payloads on an unmanned aerial and space system (104) to capture raw data aerially;
i) merging and processing raw data simultaneously through pre-fed pre-processing techniques of a pre-processing module (106) installed in any one of: the computing device; and/ or the payload of unmanned aerial and space system (104) to correct quality of raw data;
j) receiving raw data through a computing device at ground station through electromagnetic waves at pre-defined frequencies;
k) utilizing software module (110) installed in the computing device or the payload of unmanned aerial and space system (104), equipped with pre-trained computer vision and artificial intelligence for generating a plurality of spatio-temporal analysis on raw data;
l) analyzing output data through AI based software module (110) for post-processing, visualizing, handling and saving;
m) establishing a feedback loop through a feedback loop mechanism (112) having a skilled user, to receive real time inputs for refining analytical techniques;
n) remapping upgraded analytical techniques to the computing device by applying refined analytical technique to raw data cycles in real time for further analysis of raw data.

4. The method as claimed in claim 3, wherein the computing device receives analyzed output data from the user for post-processing.