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Crop Classification

3 papers with code · Miscellaneous

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Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

20 Nov 2018BMIRDS/deepslide

Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown promising results.

CROP CLASSIFICATION IMAGE CLASSIFICATION MEDICAL OBJECT DETECTION

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

International Journal of Geo-Information 2018 TUM-LMF/MTLCC

Inspired by these sequence-to-sequence models, we adapt an encoder structure with convolutional recurrent layers in order to approximate a phenological model for vegetation classes based on a temporal sequence of Sentinel 2 (S2) images.

CROP CLASSIFICATION MACHINE TRANSLATION SPEECH RECOGNITION

Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention

23 Apr 2019JohnMBrandt/capsule-attention-networks

Land use classification of low resolution spatial imagery is one of the most extensively researched fields in remote sensing.

CROP CLASSIFICATION