Description:Title: Method and System for Enhanced Satellite Image Processing and
Analysis
Field of the Invention
[0001] The topic of innovation is satellite image processing, with a specific
emphasis on systems and techniques meant to improve the processing and
interpretation of satellite images. The invention includes novel methods
that are intended to enhance the process of extracting useful information
from satellite photos, enable more precise interpretation, and open up a
wider variety of applications. With the use of cutting-edge algorithms,
computational techniques, and machine learning technologies, the
innovation hopes to make a major impact on satellite-based Earth
observation and remote sensing on images.
[0002] The idea under consideration aims to meet the increasing need for
advanced satellite image processing systems that may offer practical
insights in a range of industries, including agricultural, defence, urban
planning, environmental monitoring, and disaster management. The
invention aims to advance the state-of-the-art in satellite image processing
by combining innovative techniques and cutting-edge technology. This will
eventually lead to more effective, accurate, and versatile applications that
take advantage of the wealth of information available through satellite
imagery.
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Background
[0003] The innovation is based on the increasing use of satellite images in
current technological applications and the difficulties in obtaining valuable
information from these extensive databases. With the continuous
advancement of satellite technology, there has been a considerable rise in
both the quantity and quality of collected imagery. This has led to a growing
need for more advanced processing techniques. Conventional image
processing techniques frequently have difficulties in handling the large size
and intricate nature of modern satellite data, which hampers their ability to
extract precise information.
[0005] To address these issues, the idea takes inspiration from recent
progress in computer vision, artificial intelligence, and machine learning.
The background study entails a thorough examination of current
approaches used for processing satellite images, including the identification
of any constraints and a deep understanding of the changing requirements
of businesses that heavily rely on satellite data. The innovation seeks to
utilise this knowledge to address significant deficiencies in existing
methods, by offering novel strategies that improve the effectiveness,
accuracy, and flexibility of satellite image processing for many practical
uses. This context establishes the foundation for a significant and influential
addition to the discipline, by addressing the existing constraints and
expanding the possibilities of what can be accomplished in the analysis of
satellite images.
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[0006] The suggested innovation presents innovative ways in satellite
image processing, integrating cutting-edge technologies to address current
constraints. An important breakthrough is the creation of sophisticated
algorithms that extract features from satellite photography. These
algorithms are specifically designed to improve the detection and
understanding of important patterns within the images. By utilising
machine learning and computer vision, these algorithms strive to identify
intricate nuances, hence enhancing the precision of object recognition, land
cover categorization, and anomaly detection.
[0007] The invention combines multispectral and hyperspectral data in a
dynamic manner, effectively utilising the abundant information contained
in various spectral bands. The idea aims to improve the quality and depth
of processed satellite images by using advanced data fusion techniques.
This will result in more complete and informative datasets for consumers.
The incorporation of these suggested methods not only enhances the ability
to analyse images effectively but also enhances the effectiveness of
subsequent applications, such as environmental monitoring, precision
agriculture, and disaster response. Collectively, these innovative methods
create a strong structure for analysing satellite images, offering
improvements in precision, adaptability, and usefulness in several fields.
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[0008] US11812684B2 A computer platform is utilised to construct a
precision agricultural system that forecasts various output situations,
including infections, salt damage, soil difficulties, water leaks, and general
abnormalities, for the orchards being analysed. The computer platform
holds site and crop datasets, as well as processed satellite images for the
orchards. A predictive model based on orchard data has been developed to
determine the likelihood of certain output circumstances related to
permanent crops. This model uses data from the site and crop databases
to analyse the variables. Additionally, a satellite model uses processed
satellite photos to forecast the likelihood of the output circumstances
occurring at the orchard. A precision agricultural management model is
shown, which combines the orchard data learnt model with the satellite
model to precisely forecast the output circumstances.
[0009] US10838936B2 A computer platform is utilised to construct a
precision agricultural system that forecasts various output situations,
including infections, salt damage, soil difficulties, water leaks, and general
abnormalities, for the orchards being analysed. The computer platform
holds site and crop datasets as well as processed satellite images for the
orchards. An orchard data learning model uses data values from the site
and crop datasets to estimate the likelihood of certain output circumstances
related to permanent plantings. Additionally, a satellite model utilises
processed satellite photos to forecast the likelihood of the output
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circumstances occurring at the orchard. A precision agricultural
management model is shown, which combines the orchard data learnt
model with the satellite model to precisely forecast the output
circumstances , Claims:We Claim:
[1] A method for product authentication utilizing blockchain technology,
comprising the steps of recording and encrypting product-specific
information on a decentralized blockchain ledger, thereby establishing a
tamper-resistant system for verifying the authenticity of goods throughout
the supply chain.
[2] A system for mitigating counterfeiting risks, wherein the blockchainbased authentication process significantly reduces the likelihood of
unauthorized product replication, thereby safeguarding consumers and
manufacturers from economic losses and potential harm associated with
counterfeit products.
[3] An innovative approach to supply chain transparency, incorporating the
use of blockchain to create an immutable ledger that chronicles the origin,
manufacturing details, and distribution history of each product, thereby
enhancing overall transparency and traceability within the supply chain.
[4] A product verification interface, enabling consumers and stakeholders to
access the blockchain securely, input a unique product identifier, and
retrieve real-time authentication data, thereby facilitating a user-friendly
and efficient means of verifying the legitimacy of goods and promoting trust
in the authenticity of products