Utilizing machine learning for detecting flowering in mid-range digital repeat photography

TK Kim, S Kim, M Won, JH Lim, S Yoon, K Jang… - Ecological …, 2021 - Elsevier
The responses of plants to climate change are typically reflected in the changes in leaf and
flowering phenology. By exploiting the strength and simplicity of repeated digital …

Hybrid convolutional neural network with change detection on hyperspectral imagery

I Bidari, S Chickerur… - … Conference on Industrial …, 2021 - ieeexplore.ieee.org
Change Detection (CD) is one of the major research areas in the field of remote sensing.
Hyperspectral Images (HSI's) boosted the change detection technology with their high …

Performance analysis of change detection algorithms on multispectral imagery

I Bidari, S Chickerur, RM Talikoti… - 2020 12th …, 2020 - ieeexplore.ieee.org
Due to growing human population and technology, huge climate change occurs which
impact the environment and lives. Satellite images are profound for monitoring the ground …

Advancing earth resource management through AI enhanced early warning systems and crisis communication

P Chakravarty, S Gattupalli, U Chakravarty… - Data Analytics and …, 2025 - Elsevier
As climate change continues to pose significant challenges worldwide, regions of high
vulnerability necessitate specialized strategies for effective resource management and …

Semantic Segmentation Using U-Net Architecture for Change Detection on Hyperspectral Imagery

I Bidari, S Chickerur, S Kadam - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Modern research focuses on the creation of cutting-edge image processing methods
designed for the analysis of vast amounts of spatial and temporal data gathered from …

Change Detection Mechanism Over Multi-spectral Images Using Machine-Learning Techniques

S Fyzulla, CS Pavan Kumar, CPVN Kumar… - International Conference …, 2023 - Springer
Humans are perpetually in search of ways to enhance their quality of life, yet some of these
pursuits inadvertently inflict harm on the environment, affecting land, water, air, and more …

Land Cover Change Detection Using Multi-spectral Satellite Images

G Yagnesh, M Jagapathi, KS Sri Lekha… - Advances in Data-driven …, 2023 - Springer
Change detection in land use and land cover is critical for understanding the interplay of
human activities with the environment; hence, the ability to mimic changes is required …

Hyperspectral Image Classification for Remote Sensing

H Madani - 2020 - search.proquest.com
This thesis is focused on deep learning-based, pixel-wise classification of hyperspectral
images (HSI) in the field of remote sensing. Although presence of many spectral bands in an …