The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern ...

The carbon cycle and vegetation can both be monitored using global remote sensing technologies. This study includes open and closed shrubs, agricultural land, healthy vegetation patterns, and biomass.

However, existing open-vocabulary detectors, primarily trained on natural-world images, struggle to generalize to remote ... processing and other operations, python LAE-Label/dets2odvg.py (Optional) ...

2.3. Remote Sensing Data Acquisition and Processing The moderate-resolution imaging spectroradiometer ... This study calculated the NDVI of Kenli with a scene remote sensing image on September ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Remote Sensing technologies enable us to gain a more comprehensive understanding of the changing patterns of the Earth's physical, chemical, and biological ...

Abstract: Unsupervised domain adaptation (UDA) for remote sensing image semantic segmentation aims to train a deep model on the labeled source domain and apply it to the unlabeled target domain.

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...