A Two-Stage Low-Altitude Remote Sensing Papaver Somniferum Image Detection System Based on YOLOv5s+DenseNet121.
Qian WangChunshan WangHuarui WuChunjiang ZhaoGuifa TengYajie YuHuaji ZhuPublished in: Remote. Sens. (2022)
Keyphrases
- remote sensing
- satellite images
- high resolution
- image analysis
- change detection
- high spatial resolution
- low altitude
- hyperspectral images
- remote sensing data
- multi spectral images
- remote sensing images
- multispectral
- satellite imagery
- remotely sensed images
- aerial images
- high resolution satellite images
- remote sensing imagery
- input image
- image features
- hyperspectral
- image fusion
- land cover
- high altitude
- raster data
- satellite data
- remotely sensed data
- automatic image registration
- image data
- digital image analysis
- remote sensed images
- neural network
- multispectral images
- multiscale
- image processing
- hyperspectral data
- hyperspectral imagery
- image interpretation
- image classification
- remotely sensed
- medical imaging
- object detection
- wavelet transformation
- geographical information systems
- earth observation
- spatial resolution
- wavelet coefficients