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Data · dataset · 2026

Experimental Code and Data for "Forest Cover Mapping from Landsat Imagery via Swin Transformer with Global‑Local Synergy"

Listed in ScienceDB

This dataset provides the Python scripts and model files for implementing the proposed global‑local collaborative Swin Transformer framework, including the dual gate‑controlled local context module (DGLCM), deformable convolution, stripe pooling, and a multi‑level gated residual fusion mechanism.

Description

In addition, the experimental result data—such as accuracy metrics, confusion matrices, and the numerical values used to generate all figures—are also included.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geomatic engineering 72%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.00zkt11 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
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