Authors :
Md. Tarek Hossain; Rumi Afrin; Mohd. Al- Amin Biswas
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/vznku8ey
Scribd :
https://tinyurl.com/358f88sf
DOI :
https://doi.org/10.5281/zenodo.10077294
Abstract :
The abstract of a paper on the prospects and
restrictions of applying artificial intelligence (AI) for
remote sensing data interpretation will most likely
discuss the junction of AI and remote sensing, stressing
potential benefits and challenges. It may discuss
advances in AI approaches and their applications in
evaluating large and complicated remote sensing
datasets, as well as limitations and issues that
researchers and practitioners should be aware of. The
abstract could underline the significance of precise
remote sensing data interpretation for environmental
monitoring, resource management, disaster response,
and other essential applications. The rapid growth of
artificial intelligence (AI) tools has changed the field of
remote sensing data interpretation, creating previously
unimaginable prospects for extracting useful insights
from enormous and complicated datasets. This study
provides an in-depth examination of the opportunities
and restrictions involved with using AI to understand
remote sensing data, offering insight on the
revolutionary potential of this integration. This research
also discusses the essential restrictions and challenges
associated with AI integration in remote sensing. Some
AI models are black boxes, which raises concerns about
transparency, interpretability, and the possibility of
biased decision-making. To ensure the ethical use of AI
in remote sensing interpretation, a careful balance of
algorithmic complexity and the capacity to give
interpretable results that fit with domain knowledge
must be struck. This article offers a comprehensive
evaluation of the opportunities and restrictions
associated with using artificial intelligence to
understand remote sensing data. Researchers and
practitioners can use AI's revolutionary potential to
gain deeper insights into Earth's dynamics and
contribute to a more sustainable and informed future.
Keywords :
Artificial Intelligence, Remote Sensing, Constraints, Interpretation, Prospects.
The abstract of a paper on the prospects and
restrictions of applying artificial intelligence (AI) for
remote sensing data interpretation will most likely
discuss the junction of AI and remote sensing, stressing
potential benefits and challenges. It may discuss
advances in AI approaches and their applications in
evaluating large and complicated remote sensing
datasets, as well as limitations and issues that
researchers and practitioners should be aware of. The
abstract could underline the significance of precise
remote sensing data interpretation for environmental
monitoring, resource management, disaster response,
and other essential applications. The rapid growth of
artificial intelligence (AI) tools has changed the field of
remote sensing data interpretation, creating previously
unimaginable prospects for extracting useful insights
from enormous and complicated datasets. This study
provides an in-depth examination of the opportunities
and restrictions involved with using AI to understand
remote sensing data, offering insight on the
revolutionary potential of this integration. This research
also discusses the essential restrictions and challenges
associated with AI integration in remote sensing. Some
AI models are black boxes, which raises concerns about
transparency, interpretability, and the possibility of
biased decision-making. To ensure the ethical use of AI
in remote sensing interpretation, a careful balance of
algorithmic complexity and the capacity to give
interpretable results that fit with domain knowledge
must be struck. This article offers a comprehensive
evaluation of the opportunities and restrictions
associated with using artificial intelligence to
understand remote sensing data. Researchers and
practitioners can use AI's revolutionary potential to
gain deeper insights into Earth's dynamics and
contribute to a more sustainable and informed future.
Keywords :
Artificial Intelligence, Remote Sensing, Constraints, Interpretation, Prospects.
