Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities

L Zhang, L Zhang - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI,
particularly machine learning algorithms, range from initial image processing to high-level …

A review of practical ai for remote sensing in earth sciences

B Janga, GP Asamani, Z Sun, N Cristea - Remote Sensing, 2023 - mdpi.com
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions

MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …

Hyperspectral anomaly detection: A survey

H Su, Z Wu, H Zhang, Q Du - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Hyperspectral imagery can obtain hundreds of narrow spectral bands of ground objects. The
abundant and detailed spectral information offers a unique diagnostic identification ability for …

Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data

Y Zhang, J Hui, Q Qin, Y Sun, T Zhang, H Sun… - Remote Sensing of …, 2021 - Elsevier
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …

CBANet: An end-to-end cross-band 2-D attention network for hyperspectral change detection in remote sensing

Y Li, J Ren, Y Yan, Q Liu, P Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a fundamental task in remote sensing (RS) observation of the earth, change detection
(CD) using hyperspectral images (HSI) features high accuracy due to the combination of the …