Feature extraction for hyperspectral image classification: A review
Hyperspectral image sensors capture surface reflectance over a range of wavelengths. The
fine spectral information is recorded in terms of hundreds of bands. Hyperspectral image …
fine spectral information is recorded in terms of hundreds of bands. Hyperspectral image …
Novel adaptive region spectral–spatial features for land cover classification with high spatial resolution remotely sensed imagery
Spectral–spatial features are important for ground target identification and classification with
high spatial resolution remotely sensed (HSRRS) Imagery. In this article, two novel features …
high spatial resolution remotely sensed (HSRRS) Imagery. In this article, two novel features …
Remote sensing imagery segmentation in object-based analysis: A review of methods, optimization, and quality evaluation over the past 20 years
Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …
represents an attractive paradigm leading to accurate features classification and recognition …
Building extraction in very high resolution remote sensing imagery using deep learning and guided filters
Y Xu, L Wu, Z ** land cover is acquiring training data that …
Urban land use land cover classification based on GF-6 satellite imagery and multi-feature optimization
X Wei, W Zhang, Z Zhang, H Huang… - Geocarto …, 2023 - Taylor & Francis
Urban land use/land cover (LULC) classification has long been a hotspot for remote sensing
applications. With high spatio-temporal resolution and multispectral, the recently launched …
applications. With high spatio-temporal resolution and multispectral, the recently launched …